The document discusses location intelligence technologies and how they can benefit businesses. It provides examples of how location intelligence can be used to boost revenues and decrease costs through customer analysis, retail site selection, advertising and marketing, sales territory design, supply chain management, and field service planning. The document also notes that location data is becoming a more prominent part of business intelligence and analytics as tools are developed to store, analyze and visualize spatial data. It emphasizes that location intelligence rollout requires clear planning and navigation to ensure effective implementation.
Using Spatial Analysis to Drive Post-Pandemic Site Selection in RetailCARTO
In this webinar, we explore how geospatial data & analysis can help retailers better understand market dynamics and consolidate opportunities. You can watch the recorded webinar at: https://go.carto.com/webinars/retail-site-selection
Thousands of organizations in both the public and private sectors have incorporated geographic information system (GIS) technology into their daily operations. As the ten case studies in this e-book illustrate, the uses for this technology continue to evolve at a rapid rate.
New Challenges, New Data: The Power of Location Data in UtilitiesCARTO
In this webinar, our experts discuss how leading energy companies are turning to innovative new location data streams and new location platforms. Watch it now at: https://go.carto.com/power-location-data-utilities-recorded
Atlas CEO Ben Wright's presentation about Marketing Specific Sites at the International Economic Development Council's 2011 Marketing and Attraction Conference. Topics include commercial real estate, Geographic Information Systems (GIS).
Colliers International is a global real estate services firm with over $2.1 billion in annual revenue. They provide commercial real estate services including brokerage, property management, corporate solutions, and capital markets & investment services through over 485 offices worldwide. Colliers prides itself on having highly skilled experts, a culture of service excellence, and integrating resources to accelerate success for their clients.
Webinar: Beyond KPIs: The People And Process Drivers In Location Analytics G3 Communications
Location analytics is not just about visualizing Key Performance Indicators (KPIs) or linking charts to maps.
In fact, business analytics that focuses on people, processes and places can deliver almost 3x the ROI of IT-focused investments, according to Ventana Research.
Wendy's has extracted real business value from many areas of improvement, including: creating new ways for managers and analysts to work, delivering new information products, empowering people in their roles, and delivering new business insights.
Improve Store Expansion (Territory Management Featuring)Esri España
This document discusses SAP Spatial and its integration across SAP applications and with Esri ArcGIS. It highlights how SAP Spatial can provide maps and spatial analysis within SAP applications or custom apps. It also discusses how SAP HANA serves as a platform to seamlessly integrate spatial and enterprise data to enable spatial capabilities across organizations. Examples are provided of how SAP Spatial has been used in retail for tasks like in-store consumer behavioral analytics and demand forecasting. Competition and key trends in retail are also mentioned.
Forrester evaluated 12 leading BPM platform vendors on their abilities to support digital transformation based on 31 criteria grouped into current offering, strategy, and market presence. Forrester found that Appian, IBM, and Pegasystems lead due to their broad support for digital scenarios. Bizagi, DST Systems, K2, and Newgen Software were strong in enabling rapid development. OpenText, Oracle, and Software AG offer robust portfolios for digital business. Red Hat and TIBCO Software address digital integration challenges. The evaluation aims to help organizations select the right partner to manage critical business processes in their digital transformations.
This document discusses location intelligence and its benefits for businesses. Location intelligence involves analyzing business data in relation to location to gain insights. It can help answer questions like where assets, sales and target markets are located. The document provides case studies of how companies have used location intelligence to improve distribution, marketing and recruitment. It also outlines the steps to implement location intelligence, including enhancing data with location and demographics, visualizing on maps, and integrating it into business intelligence systems. Attendees are encouraged to download an evaluation copy to get started with location intelligence.
Location analytics: A New Dimension for your ApplicationsEsri India
Presentation by Agendra Kumar, President, Esri India at India Geospatial Forum 2014, Hyderabad (5-7th Feb) on Location Analytics - A New Dimension for your Applications
The document discusses how the Internet of Things (IoT) enables personalization through collecting data from connected devices that make up a person's "digital shadow". This data can be used for predictive analytics to understand customer needs and behaviors better than before in order to personalize their experiences. Examples are provided of how various companies are using IoT data and analytics to improve customer engagement and business insights.
Using Power BI To Improve Media Buying & Ad PerformanceGramener
This document discusses using Power BI to optimize media buying and ad performance. It introduces Power BI and its capabilities to provide a centralized campaign reporting platform. Media buying involves complex decisions around strategy, budget, objectives, and target markets. An ideal solution would provide a single product with user access control, an overview of spends and campaigns, detailed views of campaigns, and comparisons across campaigns. The demo then shows Power BI's flexibility, visual analytics, and data storytelling capabilities to evaluate campaign performance through live operational dashboards.
Location Intelligence for All: Enabling Individuals to Use Spatial Analysis [...CARTO
In this webinar, we show how CARTO empowers individuals and organizations to solve spatial problems with the best data and analysis, making Location Intelligence available for everyone - from Developers in small startups, to Data Scientists in large enterprise. Watch it now at: https://go.carto.com/location-intelligence-enabling-individuals-use-spatial-analysis-recorded
THT10839_OpenWorldSF2015 CSP Location Data Monetization V1.0Srini Alavala
This document discusses how telecommunications companies can monetize location data from mobile subscribers. It describes how location and subscriber data is currently isolated in information silos within telecom companies. The document proposes integrating this data to develop new revenue streams from location-based services like real-time offers, advertisements, foot traffic analytics and location insights products. It presents Oracle's big data platform as an end-to-end solution to acquire, aggregate, anonymize and analyze telecom subscriber location data at scale to power these new monetization opportunities.
GIS was used to create maps and analyze economic development programs and incentives across multiple states and regions:
1) Maps of subsidized job relocations in Minnesota showed the programs contributed to sprawl by moving jobs away from areas of poverty, minority populations, and public transit access.
2) A study in Michigan mapped 4,000 economic development deals across seven metro areas and analyzed the impacts on plant closings and layoffs. The maps showed few deals went to central cities or dense inner suburbs that had suffered most job losses.
3) Studies in Illinois and the Twin Cities used GIS maps to reveal economic development investments disproportionately benefited wealthy areas like airport corridors, while low-income and minority communities received few
Future of Business Intelligence keynotepaul.hawking
The document discusses the future of business intelligence. It provides a brief history of business intelligence, noting it was coined in 1989 to describe how end users could access and analyze company information. It then discusses how the term has been marketed differently over time by vendors. The document also examines emerging technologies like analytics, big data, artificial intelligence, and natural language processing that are shaping the future of business intelligence. It analyzes their position on Gartner's Hype Cycle and provides examples of how these technologies are being applied.
Fraud Detection and Compliance with Graph LearningTigerGraph
This document discusses fraud detection using graph learning. It notes that fraud numbers are increasing each year as fraud becomes more complex and organized. Graph learning can help by providing a unified view of disparate data sources and enabling new insights through novel data connections. For corporations, fraud detection is predictive, while for legal enforcement agencies (LEAs) it is also investigative. Graph learning helps LEAs unify data from multiple sources and identify syndicates through community detection. While unifying data is challenging due to legacy systems and information silos, graph representations allow visualizing and computing on unified data. The document demonstrates how graphs can present relevant transaction details and connections to support fraud investigations. It recommends an approach using domain expertise, latest technologies, and
Building new business models through big data dec 06 2012Aki Balogh
The document discusses creating new business models using big data and analytics. It provides an agenda that covers what is driving big data, definitions of big data and analytics, examples of what can be done with big data and analytics, and example architectures. Specifically, it describes how rising data volumes, falling costs of tools, and growing data science are driving big data. It defines big data using the 3Vs of volume, variety and velocity. It outlines common analytics objectives and provides examples of new revenue models, user experiences and cost optimization using big data and analytics. Finally, it shares several example architecture diagrams combining tools like Hadoop, MongoDB, Redis and event processing with data warehouses.
This document provides biographical information about Dr. Dinh Le Dat, the co-founder and CEO of ANTS, a Big Data advertising and data-driven marketing solution company. It outlines his educational background, including a PhD in Physics and Mathematics from Moscow State University, and over 15 years of experience working for technology companies in Vietnam, including roles as CTO of FPT Online Service JSC and co-founder of Yola JSC. It also lists his contact information and links to his LinkedIn profile and website.
Location technology provides context about consumers that can be used to customize their experiences. Emerging technologies allow predicting consumer behavior in real-time and delivering highly relevant content across devices. A unified platform is needed that can collect, analyze, and act on location data to connect with consumers in meaningful "mobile moments".
The document provides an overview of 6 key features for an effective mobile business strategy:
1. Identifying the right use cases based on business goals and processes
2. Leveraging data from multiple sources to provide relevant information to employees and customers
3. Establishing guidelines for mobile delivery approaches including native apps, web apps, and hybrid apps
4. Investing in user experience design through user research and analytics
5. Tracking metrics to measure initiative success and obtain feedback
6. Developing an innovation plan to continuously improve mobile experiences through regular updates
Enabling your Enterprise Mobility to tap New Growth OpportunitiesNIIT Technologies
Enterprise Mobility is a powerful tool that promises to bridge the gap between business and IT and truly make IT a business enabler by providing the capability to tap new opportunitie
How Does Location Intelligence Data Influence Site Selection Decisionsppt.pptxiwebdatascraping
Location Intelligence Data helps businesses gain insights, optimize strategies, make informed decisions, and enhance operational efficiency through geographic analysis.
Read more: https://www.iwebdatascraping.com/location-intelligence-data-influence-site-selection-decisions.php
How Does Location Intelligence Data Influence Site Selection Decisionsppt.pdfiwebdatascraping
Location Intelligence Data helps businesses gain insights, optimize strategies, make informed decisions, and enhance operational efficiency through geographic analysis.
Read more: https://www.iwebdatascraping.com/location-intelligence-data-influence-site-selection-decisions.php
Indoor Navigation System for Shopping Malls- Features, Costs & Tech Stack.pdfTechugo
Indoor navigation system for shopping malls can locate objects and visitors within buildings. However, GPS indoors is unreliable due to the lack of visual contact with GPS satellites. Thus, the mechanism must therefore use other positioning methods. These include widely accepted consumer standards for WiFi and Bluetooth Low Energy (BLE) and ultra-wideband or passive RFID solutions. The choice of technology and method is the first and most crucial step in the implementation process.
This document summarizes a report on the state of location data accuracy in mobile advertising. The key points are:
1) Location data accuracy has remained relatively unchanged over the past year, with the average industry score ranging from 49-55 on a 100 point scale.
2) While programmatic mobile inventory and location-enabled inventory are growing rapidly, publisher behavior has been slow to improve the quality of location data.
3) Tools are being developed to help marketers identify and filter out lower quality location data, but standards need to improve to drive better results.
Location data is found in 80% of organizational data but is often overlooked. Location analytics maps this location-specific data to provide insights across business areas like operations, marketing, and risk management. It offers dynamic mapping, spatial analysis, and access to complementary data. This goes beyond simple visualization to reveal patterns and relationships not evident in other formats. An effective solution is compatible with existing tools, supports various analyses and platforms, and is provided by an experienced vendor with user support. Location analytics can help organizations better understand and leverage their data.
This document discusses location-based marketing (LBM), which uses a customer's precise location to provide relevant marketing content. It begins by defining LBM and explaining why marketers should care about it. Then, it provides examples of how some companies have used LBM campaigns. It describes the technologies that enable determining a customer's location and obtaining nearby context. Finally, it outlines some key vendors and services that can help marketers implement LBM campaigns and recommends how to get started testing LBM strategies.
Like all channels of marketing, channel and data integration are keys to success. The more complex of the two is in the data.
If you're immersing into the world of mobile or location based marketing, familiarize yourself with location data management (LDP). To start read SIM Partners white paper "The CMO's Guide to Location Data Management."
Indoor Navigation System for Shopping Malls.pdfTechugo
Indoor navigation and positioning apps are required indoors. They differ from outdoor navigation apps. GPS outdoor navigation apps rely on satellite signals and can lose signal in dense areas, large buildings, or complexes. On the other hand, these indoor mapping software are designed for smaller areas and use augmented reality to display your location by accessing integrated GPS maps. The apps offer the fastest route to your destination by allowing you to access the built-in GPS maps.
The document discusses enterprise mobility strategies and best practices. It notes that mobility adoption is increasing and will account for 10-12% of IT spending by 2020. Enterprise mobility can transform businesses by creating new revenue channels and improving productivity. However, risks like technology obsolescence must be managed. The document recommends developing a comprehensive mobility strategy aligned with business goals and priorities. It also suggests establishing a center of excellence and partnering with specialists to effectively implement mobility solutions.
A ce titre les terminaux mobiles disposent de nombreux équipements permettant l'identification de la situation géographique. Pour mieux comprendre comment capitaliser sur ces points de contacts contextuels et profiter des meilleures transformations possibles, je vous propose d’étudier le guide de La Mobile Marketing Association publié en octobre 2013, intitulé « LOCATION TERMINOLOGY GUIDE – THE LANGUAGE OF LOCATION ». Découvrez mon billet dédié sur mon blog http://marketing-webmobile.fr
Read the paper titled Improving Patient Care and the Bottom Line .docxangelicar11
This document discusses how location analytics can help healthcare providers improve patient care and lower costs. Key points include:
- Location analytics can help identify gaps in patient care and needs based on geographic distribution of patients.
- Visualizing patient and population health data geographically makes it easier to understand and address issues.
- Location analytics allows analyzing trends in diseases by location and comparing availability of services to population needs.
- Examples of how this could help with diabetes care by identifying locations with many diabetes patients and whether adequate facilities exist.
Mobile Strategy for Non-Profits and AssociationsEnola Labs
Organizations recognizing this shift are aggressively transforming their business operations to reflect a more mobile centered approach. Associations are focusing on mature mobile plans with carefully orchestrated mobile strategies that align member needs, business goals and new industry opportunities.
Whether associations are looking to better identify, retain and serve members, organize member interactions, simplify event planning, increase revenues, or completely transform their business operations, mobile is the answer that provides the most engaging user experience and unquestionably best reflects the current technological shift.
Mobile Business Intelligence and the Trends Enveloping the IT WorldSoftweb Solutions
The internal and external factors that are driving mobile Business Intelligence in different organizations are being discussed in detail in this paper. Also, it talks about Implementation of successful BI solution and its main benefits.
This document discusses how location intelligence can help businesses better understand relationships between business performance and geographic/demographic factors. It provides examples of how location intelligence solutions can help with sales/distribution network analysis and marketing/planning needs like identifying high-potential new areas and optimizing a point-of-sale network. The discussed solution enables visualization of key business metrics on maps, time series trend analysis, target setting and monitoring across geographies.
This document discusses analytics solutions provided by Sensiple. It describes key challenges in analytics like deciding which data is relevant and having flexible capabilities. It then outlines different types of analytics solutions Sensiple provides, including for applications, campaigns, services, web, mobile, social media, conversion testing, dashboards, auditing, real-time analytics, data mining, usability, and competitors. Sensiple aims to simplify complex data and generate faster insights for businesses to capture opportunities.
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This document discusses the shift from Big Data 1.0 to Big Data 2.0. Big Data 1.0 focused on introducing technologies like Hadoop to take advantage of new data sources but faced challenges of complexity, specialized skills requirements, lack of security/availability, data skills shortage, and performance issues. Big Data 2.0 will see shifts like cooperative processing across platforms, accessible analytic tools for non-experts, moving processing to data for real-time analytics, combining relational and non-relational data, abstracting infrastructure complexity, and unified platforms covering the entire analytic process to unlock over $15 trillion in untapped value from data. Companies that embrace these Big Data 2.0 capabilities can achieve better performance, faster
This document discusses Oracle's Internet of Things platform for connecting machines and devices. It describes how Oracle provides a complete solution to develop and deploy applications across devices and data centers, manage and analyze large volumes of machine-generated data, integrate device data with enterprise applications, protect data through all stages of processing with security and compliance capabilities, and optimize business operations and innovation with Oracle applications and engineered systems.
The document discusses the opportunities and challenges presented by the Internet of Things (IoT). It describes how IoT allows devices and sensors to connect and share data, enabling new applications and services. The IoT market is estimated to be worth $1.9 trillion by 2020. While IoT presents opportunities, effectively managing the vast amounts of diverse data from numerous connected devices is challenging. A proven platform is needed to securely acquire, integrate, analyze and act on IoT data to create business value from this technology.
The document provides guidance on how businesses can successfully implement Internet of Things (IoT) solutions. It outlines key steps including defining a business case, creating connected objects using sensors and devices, building the necessary infrastructure including connectivity and data storage, developing applications, and integrating analytics and automation. The document emphasizes that truly transformative IoT solutions require integrating physical objects and data with business systems and services to deliver insights and intelligent, automated responses. It provides examples and considerations for each step to help businesses strategically plan and build IoT solutions that provide significant value.
The document discusses the opportunities and challenges presented by connecting products and businesses to the Internet of Things (IoT). It describes how the IoT will fundamentally change how businesses operate by allowing new customer experiences and services, automating processes, and providing real-time insights. A key benefit is illustrated through Tesla's ability to remotely update software in cars facing a recall instead of bringing them into shops. The challenges of building an IoT business are also addressed, including supporting new customer service expectations and managing connected products and services globally at scale.
This document provides guidance on responsible data collection and application to gain insights about consumers. It recommends focusing on first-party data through social login to get a comprehensive view of consumer identity across channels. It also suggests breaking down data silos by centralizing customer data and tying insights to key performance indicators to measure the impact of data-driven decisions and drive the business. Implementing these strategies can help marketers overcome challenges in accurately analyzing existing data and identifying the right data to collect.
This document discusses the opportunities and challenges presented by the Internet of Things (IoT). It outlines four key parts of an IoT ecosystem: connected things, users, enterprises, and partners. It also provides two examples of how an IoT ecosystem could work in practice, including a connected fleet solution for a car leasing company. The rise of the IoT will disrupt existing business models and require new approaches to product management, operations, production, sales and more. Developing IoT-based business ecosystems and services will be important for companies to capitalize on opportunities in this new connected world.
This document discusses machine-to-machine (M2M) solutions and opportunities for communication service providers. It outlines key vertical markets for M2M including utilities, automotive, and healthcare. It then describes HP's M2M solution for service providers, which covers connectivity and communication, data and service management, and ecosystem management. The solution is delivered for specific verticals like utilities, healthcare, and automotive through HP consultants. HP can provide complete customized solutions using optimized hardware, software, and services.
This document discusses the vision of an "Internet of Things" where everyday physical objects are connected to the Internet and able to interact with each other and people. It outlines several key technologies that enable this vision such as wireless communication, identification, sensing and embedded processing. Potential applications are described like optimizing logistics and business processes by collecting real-time data from physical objects. Challenges are also noted like ensuring the underlying technology and infrastructure is scalable, reliable, secure and addresses economic and social concerns. The document provides an overview of the concept of an Internet of Things and the technological building blocks and issues involved in realizing this vision.
The document provides an overview of the vision and challenges for smart networked objects and the Internet of Things. It discusses:
- The vision of a future where physical objects are networked and able to interact with each other and people, merging the physical and digital worlds.
- The challenges of designing smart objects that can sense, compute and communicate under energy and environmental constraints.
- The challenges of networking massive numbers of heterogeneous objects securely and flexibly while providing ubiquitous services.
- The challenges of managing distributed information processing, data fusion and ambient intelligence at scale.
The document discusses key trends driving the consolidation of processing workloads in embedded systems to make devices more secure, manageable and scalable. It describes how virtualization allows functions like security, communications, real-time processing and user interfaces to run separately on a single device. This enhances intelligence in Internet of Things applications by enabling features like remote management and analytics while improving performance, flexibility and reducing costs.
The document summarizes the evolution of M2M platforms and the emergence of new M2M/IoT application platforms. Traditionally, M2M applications were developed as independent "stovepipes" but newer applications require integrating diverse data sources. This has driven the need for new platforms that can abstract across data sources and traditional M2M platforms. The document outlines the ideal functionality of these new platforms and profiles some leading providers that demonstrate aspects of best practice.
This document discusses the key building blocks needed to enable the Internet of Things (IoT). It outlines four main categories of IoT applications: 1) remote tracking/monitoring and control, 2) process control and optimization, 3) resource allocation and optimization, and 4) context-aware automation and decision making. The main building blocks are then described in more detail: 1) sensing nodes to collect data, 2) local embedded processing nodes to analyze the data, 3) connectivity nodes to communicate wired or wirelessly, 4) software to automate tasks, and 5) remote processing nodes in the cloud. Microcontroller units are discussed as ideal local processing nodes due to requirements for energy efficiency, software ecosystems, cost effectiveness, quality,
The document discusses trends driving the growth of smart cities and provides a vision of what smart cities of the future may look like. It then presents IDC Government Insights' smart city maturity model, which defines five stages of maturity for smart cities - from ad hoc to optimized. Finally, it outlines five best practice areas and related success factors that cities need to address to progress toward becoming truly smart cities. These best practice areas include both non-technology and technology factors such as leadership, infrastructure, data usage, and more.
Enterprises are facing exponentially increasing amounts of data that is breaking down traditional storage architectures. NetApp addresses this "big data challenge" through their "Big Data ABCs" approach - focusing on analytics, bandwidth, and content. This enables customers to gain insights from massive datasets, move data quickly for high-speed applications, and securely store unlimited amounts of content for long periods without increasing complexity. NetApp's solutions provide a foundation for enterprises to innovate with data and drive business value.
This document discusses machine-to-machine (M2M) technology and its applications in manufacturing and warehousing. It is presented as a 3-part guide. The first part examines how M2M is bridging real-time information gaps for manufacturers by allowing machines to communicate with each other and centralized locations in real time. The second part explores the expanding options for M2M software that can help optimize processes like maintenance and inventory management. The third part will provide tips on deploying new M2M technology in warehouses.
Big Data is creating large amounts of metadata from users' smartphones and online activities. While this data is now being collected, enterprises still struggle to effectively analyze it and develop useful algorithms from the poor mining of Big Data. As more resources are devoted to analyzing metadata, automated tasks will be able to make better use of Big Data. However, the rapid growth of Big Data outpaces what most enterprises can currently handle from a technology and personnel standpoint.
The document discusses why marketers must pay attention to Big Data to optimize marketing campaigns. It notes that all marketing data is quickly becoming Big Data as consumers engage with marketing across multiple channels and devices. Big Data can help answer previously impossible questions about what marketing assets and campaigns are most effective. Proper attribution across browsers, devices, and touchpoints is important as consumers shop in a cross-channel, cross-device manner. Big Data can also measure the halo effect of television advertising and provide recommendations to marketers on how to optimize spending and increase revenue while decreasing acquisition costs by reallocating funds based on past performance data.
The document discusses how big data analytics is impacting the IT industry and what CIOs must do to incorporate big data analytics. It notes that we are becoming a big data, mobile, and real-time nation. By 2015, big data is predicted to generate millions of new IT jobs in areas like data collection, analysis, mobile technology, social media, and cloud computing. The rise of big data requires CIOs to adapt their approach to information governance and develop strategies to manage growing amounts of unstructured data.
Transcript: Details of description part II: Describing images in practice - T...BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
How to Avoid Learning the Linux-Kernel Memory ModelScyllaDB
The Linux-kernel memory model (LKMM) is a powerful tool for developing highly concurrent Linux-kernel code, but it also has a steep learning curve. Wouldn't it be great to get most of LKMM's benefits without the learning curve?
This talk will describe how to do exactly that by using the standard Linux-kernel APIs (locking, reference counting, RCU) along with a simple rules of thumb, thus gaining most of LKMM's power with less learning. And the full LKMM is always there when you need it!
How RPA Help in the Transportation and Logistics Industry.pptxSynapseIndia
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/07/intels-approach-to-operationalizing-ai-in-the-manufacturing-sector-a-presentation-from-intel/
Tara Thimmanaik, AI Systems and Solutions Architect at Intel, presents the “Intel’s Approach to Operationalizing AI in the Manufacturing Sector,” tutorial at the May 2024 Embedded Vision Summit.
AI at the edge is powering a revolution in industrial IoT, from real-time processing and analytics that drive greater efficiency and learning to predictive maintenance. Intel is focused on developing tools and assets to help domain experts operationalize AI-based solutions in their fields of expertise.
In this talk, Thimmanaik explains how Intel’s software platforms simplify labor-intensive data upload, labeling, training, model optimization and retraining tasks. She shows how domain experts can quickly build vision models for a wide range of processes—detecting defective parts on a production line, reducing downtime on the factory floor, automating inventory management and other digitization and automation projects. And she introduces Intel-provided edge computing assets that empower faster localized insights and decisions, improving labor productivity through easy-to-use AI tools that democratize AI.
AI_dev Europe 2024 - From OpenAI to Opensource AIRaphaël Semeteys
Navigating Between Commercial Ownership and Collaborative Openness
This presentation explores the evolution of generative AI, highlighting the trajectories of various models such as GPT-4, and examining the dynamics between commercial interests and the ethics of open collaboration. We offer an in-depth analysis of the levels of openness of different language models, assessing various components and aspects, and exploring how the (de)centralization of computing power and technology could shape the future of AI research and development. Additionally, we explore concrete examples like LLaMA and its descendants, as well as other open and collaborative projects, which illustrate the diversity and creativity in the field, while navigating the complex waters of intellectual property and licensing.
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - MydbopsMydbops
This presentation, delivered at the Postgres Bangalore (PGBLR) Meetup-2 on June 29th, 2024, dives deep into connection pooling for PostgreSQL databases. Aakash M, a PostgreSQL Tech Lead at Mydbops, explores the challenges of managing numerous connections and explains how connection pooling optimizes performance and resource utilization.
Key Takeaways:
* Understand why connection pooling is essential for high-traffic applications
* Explore various connection poolers available for PostgreSQL, including pgbouncer
* Learn the configuration options and functionalities of pgbouncer
* Discover best practices for monitoring and troubleshooting connection pooling setups
* Gain insights into real-world use cases and considerations for production environments
This presentation is ideal for:
* Database administrators (DBAs)
* Developers working with PostgreSQL
* DevOps engineers
* Anyone interested in optimizing PostgreSQL performance
Contact info@mydbops.com for PostgreSQL Managed, Consulting and Remote DBA Services
INDIAN AIR FORCE FIGHTER PLANES LIST.pdfjackson110191
These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.
GDG Cloud Southlake #34: Neatsun Ziv: Automating AppsecJames Anderson
The lecture titled "Automating AppSec" delves into the critical challenges associated with manual application security (AppSec) processes and outlines strategic approaches for incorporating automation to enhance efficiency, accuracy, and scalability. The lecture is structured to highlight the inherent difficulties in traditional AppSec practices, emphasizing the labor-intensive triage of issues, the complexity of identifying responsible owners for security flaws, and the challenges of implementing security checks within CI/CD pipelines. Furthermore, it provides actionable insights on automating these processes to not only mitigate these pains but also to enable a more proactive and scalable security posture within development cycles.
The Pains of Manual AppSec:
This section will explore the time-consuming and error-prone nature of manually triaging security issues, including the difficulty of prioritizing vulnerabilities based on their actual risk to the organization. It will also discuss the challenges in determining ownership for remediation tasks, a process often complicated by cross-functional teams and microservices architectures. Additionally, the inefficiencies of manual checks within CI/CD gates will be examined, highlighting how they can delay deployments and introduce security risks.
Automating CI/CD Gates:
Here, the focus shifts to the automation of security within the CI/CD pipelines. The lecture will cover methods to seamlessly integrate security tools that automatically scan for vulnerabilities as part of the build process, thereby ensuring that security is a core component of the development lifecycle. Strategies for configuring automated gates that can block or flag builds based on the severity of detected issues will be discussed, ensuring that only secure code progresses through the pipeline.
Triaging Issues with Automation:
This segment addresses how automation can be leveraged to intelligently triage and prioritize security issues. It will cover technologies and methodologies for automatically assessing the context and potential impact of vulnerabilities, facilitating quicker and more accurate decision-making. The use of automated alerting and reporting mechanisms to ensure the right stakeholders are informed in a timely manner will also be discussed.
Identifying Ownership Automatically:
Automating the process of identifying who owns the responsibility for fixing specific security issues is critical for efficient remediation. This part of the lecture will explore tools and practices for mapping vulnerabilities to code owners, leveraging version control and project management tools.
Three Tips to Scale the Shift Left Program:
Finally, the lecture will offer three practical tips for organizations looking to scale their Shift Left security programs. These will include recommendations on fostering a security culture within development teams, employing DevSecOps principles to integrate security throughout the development
UiPath Community Day Kraków: Devs4Devs ConferenceUiPathCommunity
We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner!
We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too!
Check out our proposed agenda below 👇👇
08:30 ☕ Welcome coffee (30')
09:00 Opening note/ Intro to UiPath Community (10')
Cristina Vidu, Global Manager, Marketing Community @UiPath
Dawid Kot, Digital Transformation Lead @Proservartner
09:10 Cloud migration - Proservartner & DOVISTA case study (30')
Marcin Drozdowski, Automation CoE Manager @DOVISTA
Pawel Kamiński, RPA developer @DOVISTA
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
09:40 From bottlenecks to breakthroughs: Citizen Development in action (25')
Pawel Poplawski, Director, Improvement and Automation @McCormick & Company
Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company
10:05 Next-level bots: API integration in UiPath Studio (30')
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
10:35 ☕ Coffee Break (15')
10:50 Document Understanding with my RPA Companion (45')
Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath
11:35 Power up your Robots: GenAI and GPT in REFramework (45')
Krzysztof Karaszewski, Global RPA Product Manager
12:20 🍕 Lunch Break (1hr)
13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30')
Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance
13:50 Communications Mining - focus on AI capabilities (30')
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Mapping an effective location intelligence strategy
1. Handbook
1EDITOR’S NOTE
2WHAT LOCATION INTELLIGENCE
CAN DO FOR YOU
3LOCATION ROLLOUTS NEED
CLEAR-EYED NAVIGATION
4MOBILE BI APPS MAKE
ROOM FOR LOCATION DATA
VIRTUALIZATION
CLOUD
APPLICATIONDEVELOPMENT
HEALTHIT
NETWORKING
STORAGEARCHITECTURE
DATACENTERMANAGEMENT
BI/APPLICATIONS
DISASTERRECOVERY/COMPLIANCE
SECURITY
Mapping Out an Effective
Location Intelligence Strategy
Location intelligence technologies aren’t just for consumers looking for a good
restaurant or vacation spot. Businesses can benefit, too: Analyzing location data
can help them boost revenues and decrease costs.
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2 MAPPING OUT AN EFFECTIVE LOCATION INTELLIGENCE STRATEGY
1EDITOR’S NOTE
Location Intelligence Takes BI to a New Place
Real estate, famously, is all about loca-
tion, location, location. Business intelligence
and analytics haven’t reached that point yet,
not by any stretch of the imagination. But loca-
tion data is taking on a higher profile in BI and
analytics circles, enabling the development of
location intelligence applications that let busi-
ness users map, track and analyze spatial data,
demographic records, logistics data and other
types of information. In a report published by
The Data Warehousing Institute in September
2012, consultant David Loshin cited a variety of
potential uses for location data, from assess-
ing eligibility for government assistance after
natural disasters to optimizing transportation
routing for product distribution.
And more advanced technologies are enter-
ing the location intelligence picture. For ex-
ample, mobile applications are fertile ground
for location-based analysis. And in a June 2013
report, consulting company Forrester Research
detailed what it termed “the next stage” for
marketers looking to tap into location technol-
ogy: location-enabled predictive marketing
aimed at better assessing the future interests
and needs of customers.
But you can’t just arrive at your location in-
telligence destination without putting in some
effort to get there. This guide is designed to
help you get started on that road. First we delve
more deeply into location intelligence use cases
and applications to provide a solid idea of what
the technology can be used for. Next we catalog
tips from experienced users on implementing
and managing location intelligence systems.
We close with a close look at the benefits and
challenges of deploying mobile location intel-
ligence apps. n
Craig Stedman
Executive Editor, SearchBusinessAnalytics.com
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3 MAPPING OUT AN EFFECTIVE LOCATION INTELLIGENCE STRATEGY
2BEST PRACTICES
What Location Intelligence Can Do for You
The term location intelligence is a growing
part of today’s business intelligence and ana-
lytics lexicon, but what kinds of BI applica-
tions does location technology make possible?
Thanks to Google and other online information
sources, nearly everyone is familiar with a mul-
titude of consumer uses for location data—for
example, getting directions and finding restau-
rants, hotels, hospitals, government buildings
and just about anything else you might need to
find in a particular geographic area.
But can a business use location intelligence
software to boost its bottom line? Absolutely.
There’s a wide variety of location-based BI ap-
plications in play in nearly every industry. Here
is a sample of some of the most commonly
found ones:
■■ Customer analysis. Understanding the cus-
tomer is critical for any organization, and
location intelligence can play a big role by
enriching customer data with demographic
or lifestyle data based on where people live or
by adding spatial data metrics—drive times
to stores, for example—for use in sales fore-
casting models. Location data can also aid in
customer profiling, segmentation and pros-
pecting efforts, and in trade area and com-
petitive analysis applications.
■■ Retail site selection and expansion plan-
ning. Location intelligence tools can help
retailers find the best location for a new store
or suitable sites for an entire chain of stores.
Potential store sites can be quickly evaluated
and prioritized without the need for visits,
based on local demographic and economic
data and geographic factors such as trans-
portation access, the location of competitors
and site sustainability. Companies looking
to add stores to fill geographic gaps can also
use location-based analysis to measure the
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4 MAPPING OUT AN EFFECTIVE LOCATION INTELLIGENCE STRATEGY
potential for “cannibalism” of customers who
already shop at existing outlets.
■■ Advertising and marketing promotions.
Efforts to reach potential customers with
targeted communications at the right place
and time have long benefited from insight
provided by location intelligence applica-
tions. And the possible uses are expanding
in today’s mobile-oriented world. Customers
are no longer associated with only a mailing
address or ZIP code and a home telephone
number but also with their location-enabled
smartphones and tablets. Effective marketing
messages must be tailored based on where
customers are at a particular time. Location
intelligence applications can trigger ads and
promotional offers based on proximity to a
store or other spatial information.
■■ Sales territory design and optimization.
Location intelligence can greatly improve
sales force productivity by helping companies
design balanced sales territories to optimize
coverage and customer service levels. Data
on customer density, travel times between
different sites, the locations of customers
with high buying potential and other factors
can be brought together and analyzed to en-
sure that territories are set up to reach cus-
tomers both effectively and efficiently.
■■ Supply chain management. In the global
economy, far-flung suppliers could be at risk
of events such as natural disasters, politi-
cal upheavals and even terrorist attacks that
might disrupt their production and deliver-
ies. Companies dependent on those deliveries
can use location intelligence systems to help
design supply chain networks and then to
identify risks, develop mitigation plans and
recover from disruptions when they do oc-
cur. Location-based applications can also help
improve distribution planning and execution
by supporting processes such as optimized
multi-modal transportation routing and geo-
fencing, which creates virtual boundaries and
provides alerts when vehicles or goods cross
them.
■■ Field service planning and tracking. Large
organizations such as utilities, telecom
2BEST PRACTICES
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5 MAPPING OUT AN EFFECTIVE LOCATION INTELLIGENCE STRATEGY
carriers and oil and gas companies have ex-
tensive holdings and employ thousands of
technicians to install and repair equipment
in the field. Location intelligence tools have
long provided the means to map assets and
customer locations and help plan mainte-
nance and service activities. Now tablets and
smartphones add the ability to track vehicles
and workers in real time. The geofencing ca-
pabilities in location intelligence software
deployed on mobile devices can alert dis-
patchers when technicians approach, arrive at
or leave a work site; how long they stay there;
and whether they deviate from a specified
route. That can result in lower operating costs
and increased customer satisfaction.
It’s said that 80% of the data in an organiza-
tion has a location component. And with more
and more workers carrying location-aware mo-
bile devices, the number and variety of location
intelligence use cases is exploding.
In addition, vendors of databases, business
applications and BI tools have begun to build
support for storing, analyzing and visualizing
spatial data into their products. As business
users become familiar with those capabilities,
even more uses for location data surely will
follow.
If you aren’t already, you should think about
adding location intelligence to your business
landscape. Your competition likely is.
—Steve Benner
2BEST PRACTICES
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6 MAPPING OUT AN EFFECTIVE LOCATION INTELLIGENCE STRATEGY
Location Rollouts Need Clear-Eyed Navigation
The Truckee Donner Public Utility Dis-
trict in California faces stiff regulatory re-
quirements that force it to inspect facilities,
overhead electrical wires and telephone poles
on an ongoing basis. But coordinating work
crews to get someone out to far-flung areas,
and then documenting inspections and report-
ing on the results, proved to be a challenge.
Two years ago, utility executives found that
they were falling behind on inspections.
They responded by turning to a suite of busi-
ness intelligence (BI) and location intelligence
software tools that enabled them to combine
administrative data with information on the
locations of crews in order to more efficiently
assign inspections.
Using the software, administrators can see
a visual map with information on what sites
have been inspected, what kind of work was
done at each location, who did the work and
what results were found. From there, they can
generate reports on the inspection work. Ad-
ditionally, the administrators can track how
inspections affect the quality of electrical
service by looking for correlations between
inspection findings and incidents of power
outages.
Ian Fitzgerald, IT operations manager for
the utility, said the BI and location intelligence
system has helped eliminate about 90% of the
inspection-related paperwork that previously
had to be done by hand. But getting the pieces
in place presented some challenges, he said,
adding that there are things other organizations
can do to help location intelligence implemen-
tations go smoothly.
KEEPING IT SIMPLE
Truckee Donner deployed a combination of
BI tools and dashboards from Logi Analyt-
ics and Esri geographic information system
3STRATEGIES
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3STRATEGIES
(GIS) software. Fitzgerald said there are lots of
ways that users can integrate the two kinds of
systems, including writing their own GIS and
XML code to customize the products.
But the utility has a limited number of tech-
nical staffers, so a heavy amount of custom
coding wasn’t an option. Instead, Fitzgerald
used sample code that he obtained through a
Logi user forum to streamline the Logi-Esri in-
tegration process. Users can also look for inte-
gration support from their vendors.
Also, the system’s user interfaces were de-
signed with business users in mind, which
means they needed to be simple and easy to
navigate. The goal was to enable workers in
all departments to use the software to col-
lect, manage and analyze data and put together
reports.
“Our philosophy is to put as much technol-
ogy in the hands of nontechnical people as
possible and let them collect the data without
having to spend too much time [handling that]
on the IT side,” Fitzgerald said.
A CHANGING LANDSCAPE
Seattle-based Venuelabs uses analytics and
location intelligence software to track com-
ments, likes, check-ins and other online ac-
tions by social media users in order to monitor
brand sentiment for its clients, mostly big-box
retailers or restaurant chains. The information
is correlated with location data to see how spe-
cific retail or restaurant locations are perform-
ing. Venuelabs CEO Neil Crist said most of the
software used by the company is homegrown,
and the primary users are a group of data sci-
entists—so a lack of technical resources and a
need to simplify the applications weren’t major
concerns when the system was being set up.
But keeping abreast of the changing dynam-
ics of social networking and ensuring that the
“Our philosophy is to put as much technology in the hands
of nontechnical people as possible.”
—ian fitzgerald, IT operations manager at Truckee Donner Public Utility District
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3STRATEGIES
system continues to provide the required data
are critical to the company’s success.
Venuelabs has to constantly tune in to new
social media channels to see what users are
saying about corporate brands. For example, the
photo-sharing site Instagram generates a lot
of relevant data about the company’s clients,
but just 24 months ago that site had virtually
no users. The evolving social media landscape
means the data science team at Venuelabs reg-
ularly has to adjust its algorithms for analyz-
ing location-tagged information collected from
sites, partly because of the differences in how
users interact with them. For example, a “like”
on Facebook could have a different meaning
than a photo of a restaurant meal uploaded to
Instagram without any comment, and the sys-
tem has to take such variations into account.
Other businesses looking to implement
location intelligence software might not be
adding new content streams with the same
kind of frequency as Venuelabs, but the type
of information they’re interested in tracking
can change. For example, Fitzgerald said the
Truckee Donner utility district might become
satisfied that it’s doing enough site inspec-
tions in the future and want to place more of an
emphasis on understanding how the results of
inspections vary by location. A flexible mind-
set is called for in such cases to help ensure
that the location technology continues to meet
changing business needs.
PINPOINTING ITS USES
Howard Dresner, chief research officer at
Dresner Advisory Services in Nashua, N.H.,
knows there’s a great deal of knowledge stored
in location data. But businesses starting out on
projects need to determine whether location
intelligence software is applicable throughout
their operations or only in certain departments.
According to Dresner, retail and sales opera-
tions are likely to be able to gain significant
A flexible mind-set is called for to help ensure that location
technology continues to meet changing business needs.
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3STRATEGIES
knowledge from location intelligence applica-
tions. For example, meteorological data can
influence a retail store manager’s staffing de-
cisions. Finance departments, on the other
hand, typically would benefit less from the
technology.
With a growing number of organizations
looking to reap the benefits of big data analyt-
ics applications, there’s a tendency nowadays
to over-accumulate data. That can increase the
“noise-to-signal ratio” business users have to
contend with, Dresner warned.“We can collect
untold volumes of data these days, but then
you need to analyze it. There’s signal within
the noise, but it can be hard to find.”
Instead of collecting every piece of data that
has a location element attached to it, busi-
nesses may be better off starting with more
targeted projects that capture specific infor-
mation, Dresner said. As location intelligence
software continues to mature, it may become
feasible to crunch more data. But in the mean-
time, he advised, a pragmatic approach is to fo-
cus on analyzing data that can provide answers
to a limited set of location-related questions.
—Ed Burns
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1 0 MAPPING OUT AN EFFECTIVE LOCATION INTELLIGENCE STRATEGY
Mobile BI Apps Make Room for Location Data
Companies increasingly are looking to
take analytics out of the office. And in many
cases, they’re combining mobile business in-
telligence software with tools that can analyze
location data to add a geographic component to
BI applications.
For example, Chris Hickman, a principal
consultant at Decision First Technologies Inc.,
said he recently helped a natural gas company
implement a location intelligence system that
agents inspecting possible gas production sites
can use to help decide whether to make rights-
purchase offers to the property owners while
they’re in the field.
When a landowner calls the company offer-
ing to sell the rights to gas deposits found on
a property, dispatchers can see in the system
which agents are in the area. The nearest rep-
resentative can then be sent to the property
and can check from a mobile device to see if
it’s close enough to existing pipelines and
refineries to be worth making a deal for the
drilling rights. That research previously had to
be done by employees back at the office, wast-
ing valuable time in evaluating properties and
opening negotiations with landowners, said
Hickman, who declined to identify the gas
company.
“Because they can talk with the ranch owners
and immediately look at the maps on the mo-
bile devices, they’re able to respond a lot more
quickly than the competition,” he said, adding
Companies are looking to take ana-
lytics out of the office, often com-
bining mobile business intelligence
software with tools that can analyze
location data to add a geographic
component to BI applications.
4TECHNOLOGY
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4TECHNOLOGY
that the rapid-response capabilities increase
the odds that the property owner will agree to
a sale.
But the confluence of mobile BI and loca-
tion-based analysis presents some challenges
for IT and BI teams that should be taken into
account before embarking on a mobile location
intelligence initiative.
STICK TO THE PLAN
Hugh Strawn, vice president of catastrophe
services at the Property Loss Research Bureau
(PLRB), an insurance industry resource group in
Downers Grove, Ill., said an organization might
start a project with a clear set of objectives in
mind but then make changes to the plan mid-
stream—a move that could send the deploy-
ment astray.
With the help of geographic information sys-
tem software vendor Esri, the PLRB recently
released a mobile version of an application it
offers to member organizations that enables
claims adjusters to analyze weather data and
predict down to specific street addresses where
severe weather incidents are likely to have
occurred. Strawn said the information helps
adjusters decide whether claims should be paid
or investigated further.
Location intelligence systems can do many
things, Strawn said. But, he added, companies
should always stick to the capabilities that are
most important to meeting business needs—
particularly on mobile applications that have
to run on devices with small keyboards and
reduced screen real estate.
“Sit down and clearly define what it is you
want the product to look like when you’re
done,” he said.“What is it supposed to do? The
clarity and direction is crucial.”
User interface design is a crucial element of
any BI or location intelligence application, but
that’s especially true for mobile apps because
of the screen size limitations. Simply pushing
desktop versions of applications onto mobile
devices is big mistake, warned Howard Dresner,
an analyst at Dresner Advisory Services.“You
can’t take an existing desktop dashboard that
you use in the office and dump it on some-
one’s device,” he said.“You’ve got to design for
the device, design for the role, design for the
activity.”
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4TECHNOLOGY
WATCH OUT FOR DESIGN TRAPS
In mobile location intelligence implementa-
tions, it’s an easy trap for programmers to load
up maps with numerous data points in an ef-
fort to deliver as much information as possible
to the user. But that typically leads to informa-
tion overload and an application so cluttered it
can be impossible to use, Dresner said.
Another factor that can complicate the
design of mobile location intelligence appli-
cations is the use of Adobe Flash plug-ins.
Hickman pointed out that many mobile de-
vices, in particular the iPad and iPhone, don’t
support Flash; in fact, Adobe has stopped de-
veloping new versions of Flash Player for mo-
bile platforms. But many multimedia elements,
including interactive maps showing location
data, typically are designed using the Adobe
technology.
Application developers may be able to get
around that issue by using other methods. For
example, various BI vendors now allow devel-
opers to build mobile applications in HTML5,
a markup language that can be used to create
interactive elements. Still, Hickman said some
HTML5 features currently aren’t supported by
mobile operating systems. Programmers need
to understand what the devices being used in
their organizations will and won’t support be-
fore designing location-based applications for
mobile users, he said.
Hickman also cited connections to corporate
servers. The typical way for mobile users to
remotely connect to secure servers is through
a virtual private network. But he said some of
the business users he has worked with thought
VPN connections were overly complicated to
establish and didn’t want to bother with them.
Instead of a VPN client, Hickman recom-
mends using a reverse proxy connection that
allows users to access a secure URL through an
SSL certificate, a process that he said should
feel familiar to most people regardless of their
comfort level with technology.“It’s easier to
push the technical implementations back into
the IT department rather than having, say, your
CFO having to implement a VPN,” Hickman
said. —Ed Burns