Tue.Sep 26, 2023

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Image Semantic Segmentation Using Dense Prediction Transformers

Analytics Vidhya

Introduction This article will look at a computer vision technique of Image Semantic Segmentation. Although this sounds complex, we’re going to break it down step by step, and we’ll introduce an exciting concept of image semantic segmentation, which is an implementation using dense prediction transformers or DPTs for short from the Hugging Face collections.

Analytics 282
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Zero Trust: Understanding the US government’s requirements for enhanced cybersecurity

CIO Business Intelligence

The concept of Zero Trust has gained significant traction in recent years, as organizations look to enhance their cybersecurity defenses and safeguard their digital assets. The US government has been at the forefront of promoting this approach, with a series of guidelines and requirements that companies must adhere to. In this blog, I will explore some of the current requirements for companies to implement Zero Trust as outlined by the US government.

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Top 10 Ways to Use AI in Web Development

Analytics Vidhya

With an annual growth rate of 37.3% from 2023 to 2030, AI is progressing rapidly in the web development domain. AI can fundamentally change how we engage with websites today because of its capabilities for automation and optimization. Nowadays, having a website has become essential for every kind of company in the marketplace. AI and […] The post Top 10 Ways to Use AI in Web Development appeared first on Analytics Vidhya.

Analytics 280
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6 IT rules worth breaking — and how to get away with it

CIO Business Intelligence

There comes a time in every IT leader’s life when a key decision must be made: whether to follow an established rule or, as a matter of necessity, break precedent and embark on an alternate course. Management rules typically exist to enable faultless decision-making, set a foundation for consistent operation, and provide protection from risk, observes Ola Chowning, a partner at global technology research and advisory firm ISG.

IT 130
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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionzing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs. Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for

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Crafting Complex SQL Queries with Generative AI Assistance

Analytics Vidhya

Introduction The launch of ChatGPT marked an unprecedented moment in the history of AI. With their incredible capabilities, ChatGPT and many other generative AI tools have the potential to change dramatically the way we work. Writing SQL is one task already changing in data science following the AI revolution. We will provide an illustrative example of […] The post Crafting Complex SQL Queries with Generative AI Assistance appeared first on Analytics Vidhya.

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8 questions CIOs should ask to prime their business for gen AI

CIO Business Intelligence

Companies are now recognizing the work ahead of them to get their data, people, and processes ready to capitalize on gen AI’s potential. In fact, insights from a recent Accenture survey found that nearly all (99%) executives said they plan to amplify their investments in the technology. So leaders will need to radically re-think how work gets done. And CIOs—given their cross-functional view of business processes coupled with an intimate understanding of how technology can be leveraged to reinven

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How AI can deliver eye-opening insights for IT

CIO Business Intelligence

No matter what your newsfeed may be, it’s likely peppered with articles about the wonders of artificial intelligence. And rightly so. But even as we remember 2023 as the year when generative AI went ballistic, AI and its ML (machine learning) sidekick have been quietly evolving over several years to yield eye-opening insights and problem-solving productivity for IT organizations.

IT 125
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Difference Between Data-Driven and Normal Organization

Analytics Vidhya

Have you ever wondered about the difference between Data-Driven and Normal Organization? Why does data matter, and why should organizations aspire to be data-driven? What benefits come with a data-driven culture, and how can organizations transition into it? These are the common questions business owners, executives, and employees pose in various forums.

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Introducing the LLM Mesh: A Common Backbone for Generative AI Applications

Dataiku

As more and more organizations experiment with Generative AI and deploy it in production, a crucial question emerges: Can these applications be both safe and scalable in an enterprise context? The answer is yes, via the LLM Mesh — a common backbone for Generative AI applications that promises to reshape how analytics and IT teams securely access Generative AI models and services.

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Generative AI vs Predictive AI: What is the Difference?

Analytics Vidhya

AI has drastically altered several industries by allowing machines to execute challenging jobs while making intelligent choices. Predictive AI and Generative AI are the best-known and used AI sisters. Although both have a powerful ability to adapt, their potential uses and distinctive benefits vary depending on what exactly is being accomplished with them.

Analytics 254
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Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

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Oracle bolsters distributed cloud, AI strategy with new Mexico cloud region

CIO Business Intelligence

Oracle has partnered with telecommunications service provider Telmex-Triara to open a second region in Mexico in an effort to keep expanding its data center footprint as it eyes more revenue from AI and generative AI-based workloads. Earlier this month, the company said it expects cloud revenue to grow 29% to 31% in the second quarter of 2024, driven by high demand for AI and generative A I workloads from enterprises.

Strategy 123
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What is the Tableau Developer Salary in India?

Analytics Vidhya

Introduction Tableau has emerged as a popular data visualization tool in companies, making it one of the hottest trends in Business Intelligence. In India, people are curious about the Tableau developer salary statistics. In today’s competitive job market, the salary for Tableau developers has become an attraction for candidates considering a career change.

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Rediscovering the value of information

CIO Business Intelligence

In his dissertation at Stanford in 1976, smartphone pioneer and founder and CEO of General Magic Marc Porat correctly prophesied that the future would be defined by “ information machines, information workers, and information companies.” Today, there is general consensus that we live in an “Information Society” and work in an “Information Economy.” What is surprising is that despite the information intensity of modern existence — for example, 3.5 billion searches per day — one would be hard pres

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Unveiling Retrieval Augmented Generation (RAG)| Where AI Meets Human Knowledge

Analytics Vidhya

Introduction In our fast-paced digital world, artificial intelligence keeps surprising us with its remarkable capabilities. One of its latest breakthroughs is Retrieval Augmented Generation, affectionately known as RAG. This innovation is like a digital wizard that blends the skills of a librarian and a writer. It’s poised to change how we find and interpret information, […] The post Unveiling Retrieval Augmented Generation (RAG)| Where AI Meets Human Knowledge appeared first on Anal

Analytics 244
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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are le

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SAP prepares to add Joule generative AI copilot across its apps

CIO Business Intelligence

By year-end, users of a couple of SAP applications should have the option to ask generative AI copilot, Joule, to help with their work — and the company plans to roll the feature out across all its applications one by one in the years to come. Clicking on a dedicated button in compatible SAP applications will open up the Joule interface, which will then accept input in a variety of ways.

IT 114
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10 Use Cases of AI in Space

Analytics Vidhya

Introduction For hundreds of years, people have gazed at and been curious about the night sky. Even today, the interest is sparkling bright. AI in space has shown to be an excellent companion in our drive to explore and discover things in space. Artificial intelligence (AI) has completely changed how we interact with the cosmos, […] The post 10 Use Cases of AI in Space appeared first on Analytics Vidhya.

Analytics 238
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Spatial computing is the next frontier in airline flight safety

IBM Big Data Hub

Flight delays are a frustrating aspect of flying. It’s a situation most can relate to: sitting in the terminal or on the tarmac wondering why your flight is delayed, with no answers or information. There are dozens of reasons why an aircraft could be delayed with safety being the underpinning reason for many of them. Suppose an aircraft incurs minor damage from a lightning strike or by coming into contact with ground equipment as it’s being towed or refueled, or it sustains damage fr

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Fourth Industrial Revolution: AI and Automation

Analytics Vidhya

Introduction The constant striving of humans to discover the unknown has led to advancements in technology. The advent of the industrial revolution comprising AI and automation has dominated the world. This transformative wave of innovation has ushered us into the fourth industrial revolution era, enhancing the quality of life for living beings. The remarkable strides […] The post Fourth Industrial Revolution: AI and Automation appeared first on Analytics Vidhya.

Analytics 177
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Innovation Systems: Advancing Practices to Create New Value

As technology transforms the global business landscape, companies need to examine and update their internal processes for innovation to keep pace. Ultimately, organizations will have to improve the velocity of innovation by creating repeatable processes that support ideation, exploration, and incubation, essential to capturing an idea’s full value.

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Child support systems modernization: The time is now

IBM Big Data Hub

The majority of today’s child support systems are dated, first-generation systems that are now more than 25 years old. These systems need modernization to meet the evolving needs of children and families in the 21 st century. With more than 20% of families and children supported by these systems, the impact is significant. Today’s constituents are interested in engaging with services using modern, consumer-friendly technologies, platforms and devices.

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Application of Data Science in the World of FinTech

Analytics Vidhya

Introduction In today’s dynamic financial landscape, data science has become a cornerstone of the FinTech and banking industries. It has emerged as the driving force behind informed decision-making, benefiting both customers and the financial industry as a whole. Credit bureaus like TransUnion help in this data-driven decision-making by employing techniques such as credit scoring and […] The post Application of Data Science in the World of FinTech appeared first on Analytics Vidhya.

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IBM Technology Chooses Cloudera as its Preferred Partner for Addressing Real Time Data Movement Using Kafka

Cloudera

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle. As lakehouse architectures (including offerings from Cloudera and IBM) become the norm for data processing and building AI applications, a robust streaming service becomes a critical building block for modern data architectures.

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How to Assess the Analytics Maturity of Your Organization? 

Analytics Vidhya

Data analytics transforms raw data into actionable insights that drive informed decision-making, enhance performance, and create value. Yet, organizations vary in their data analytics maturity and capabilities. Wondering how you can monitor your current position and elevate your data analytics journey? This article outlines steps to evaluate and enhance your data analytics strategy and roadmap. […] The post How to Assess the Analytics Maturity of Your Organization?

Analytics 161
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How to Deliver a Modern Data Experience Your Customers Will Love

In embedded analytics, keeping up with the pace of innovation is challenging. Download Qrvey's guide to ensure your analytics keep pace so you can solve your user's biggest challenges, delight them, and set your product apart from the competition. The guide outlines how to use embedded analytics to: Increase user satisfaction Go to market faster Create additional opportunities to monetize your product It also shares what to look for to ensure your embedded analytics are keeping up with the lates

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The Data Maturity Pyramid: From Reporting to a Proactive Intelligent Data Platform

KDnuggets

This article describes the data maturity pyramid and its various levels, from simple reporting to AI-ready data platforms. It emphasizes the importance of data for business and illustrates how data platforms serve as the driving force behind AI.

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Swiss energy services company uses machine learning to see the future

CIO Business Intelligence

If you want to look into the future, sometimes you have to be able to predict it. Swiss energy services company IWB has a vision of a world with a fully renewable, climate-friendly energy supply. Not long ago, though, that goal seemed difficult to conceptualize. For many years, IWB’s distribution grid supplied customers with electricity exclusively produced by large, centralized power plants.

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Using Experian identity resolution with AWS Clean Rooms to achieve higher audience activation match rates

AWS Big Data

This is a guest post co-written with Tyler Middleton, Experian Senior Partner Marketing Manager, and Jay Rakhe, Experian Group Product Manager. As the data privacy landscape continues to evolve, companies are increasingly seeking ways to collect and manage data while protecting privacy and intellectual property. First party data is more important than ever for companies to understand their customers and improve how they interact with them, such as in digital advertising across channels.

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5 steps we can take to address the cyber skills shortage

CIO Business Intelligence

Depending upon which research report you read, we have a shortage of somewhere around 3.4 million or 3.5 million individuals worldwide 2. But we are not the only industry with a talent gap. The medical industry, for example, is facing a shortage of more than 10 million physicians worldwide 3. The skills shortage creates challenges, of course. According to ISACA, 60% of organizations are struggling to retain individuals, and 62% say their teams are operating at a talent deficit. 4 The cybersecuri

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The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? The Senzing Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. You’ll learn about use cases, technology and deployment options, top ten evaluation criteria and more.

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Introducing hybrid access mode for AWS Glue Data Catalog to secure access using AWS Lake Formation and IAM and Amazon S3 policies

AWS Big Data

AWS Lake Formation helps you centrally govern, secure, and globally share data for analytics and machine learning. With Lake Formation, you can manage access control for your data lake data in Amazon Simple Storage Service (Amazon S3 ) and its metadata in AWS Glue Data Catalog in one place with familiar database-style features. You can use fine-grained data access control to verify that the right users have access to the right data down to the cell level of tables.

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Mitigating mayhem in a complex hybrid IT world

CIO Business Intelligence

We’ve all seen the insurance commercials: Mayhem is everywhere. When it strikes in the consumer world of insurance, you want the right people on your side and the right plan to navigate a way forward. The same can be said about IT. When a system begins to break down, the most important thing is ending the breakage, restoring it, and minimizing the business impact.

IT 83
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Generative Agent Research Papers You Should Read

KDnuggets

Research paper in the exciting field that you don’t want to miss.

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How to ignite innovation and empower more sustainable solutions

CIO Business Intelligence

Some moments in life are indelibly etched in our memory. I will never forget one evening several years ago. In fact, I can point to the chair where I sat when it happened. My wife, three children, and I were eating dinner together. Suddenly, an idea sparked in my brain. I grabbed a pencil and a piece of paper from the kitchen counter and began diagramming my concept.

Testing 83
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How Intent Data Helps Marketers Convert A-List Accounts

One of the biggest challenges for any B2B marketer is understanding your prospects’ next move — who is most likely to buy and when. Without these insights, marketing campaigns can feel more like guesswork, with high investment and little return. We’re here to tell you there’s a better way. By tracking buyers’ digital footprints and online activity, such as website visits, product reviews, and spikes in content consumption, you can engage prospects with a message that really resonates.