CIO Business Intelligence
OCTOBER 24, 2023
As CIOs prepare for the next wave of digital transformation, they must demonstrate shorter-term business impacts from technology investments and achieve larger innovation goals that evolve the organization’s business model. But perhaps more importantly, they must learn from their previous big digital wins — and avoid repeating all-too-frequent mistakes that cause transformations to fail or lag behind expectations.
O'Reilly on Data
OCTOBER 30, 2023
Disclaimer: Based on the announcement of the EO , without having seen the full text. While I am heartened to hear that the Executive Order on AI uses the Defense Production Act to compel disclosure of various data from the development of large AI models, these disclosures do not go far enough. The EO seems to be requiring only data on the procedures and results of “Red Teaming” (i.e. adversarial testing to determine a model’s flaws and weak points), and not a wider range of inf
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O'Reilly on Data
OCTOBER 17, 2023
Anant Agarwal, an MIT professor and of the founders of the EdX educational platform, recently created a stir by saying that prompt engineering was the most important skill you could learn. And that you could learn the basics in two hours. Although I agree that designing good prompts for AI is an important skill, Agarwal overstates his case. But before discussing why, it’s important to think about what prompt engineering means.
David Menninger's Analyst Perspectives
OCTOBER 10, 2023
The 2023 Ventana Research Buyers Guide for Embedded Analytics research enables me to provide observations about how the market has advanced.
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
CIO Business Intelligence
OCTOBER 24, 2023
Diversity, equity, and inclusion have become important social issues. In the wake of the George Floyd and Breonna Taylor murders of 2020, companies made massive, highly publicized efforts to correct for systemic bias and improve the mix of race, gender, and lived experiences in the workplace. According to a recent study from Pew Research, most employed adults in the US think this is a good thing.
Analytics Vidhya
OCTOBER 16, 2023
Introduction I’m pretty sure most of you have already used ChatGPT. That’s great because you’ve taken your first step on a journey we’re about to embark on in this article! You see, when it comes to mastering any new technology, the first thing you do is use it. It’s like learning to swim by jumping […] The post Fine-Tuning, Retraining, and Beyond: Advancing with Custom LLMs appeared first on Analytics Vidhya.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Boris Evelson
OCTOBER 18, 2023
Democratizing enterprise data while trying to stick to a single trusted enterprise data source (i.e., the “single source of the truth”) is a quagmire. Actually, these are two almost opposing objectives.
AWS Big Data
OCTOBER 30, 2023
Spark on AWS Lambda (SoAL) is a framework that runs Apache Spark workloads on AWS Lambda. It’s designed for both batch and event-based workloads, handling data payload sizes from 10 KB to 400 MB. This framework is ideal for batch analytics workloads from Amazon Simple Storage Service (Amazon S3) and event-based streaming from Amazon Managed Streaming for Apache Kafka (Amazon MSK) and Amazon Kinesis.
David Menninger's Analyst Perspectives
OCTOBER 16, 2023
The 2023 Ventana Research Buyers Guide for Mobile Analytics research enables me to provide observations about how the market has advanced.
CIO Business Intelligence
OCTOBER 13, 2023
Generative AI is quickly changing the landscape of the business world, with rapid adoption rates across nearly every industry. Businesses are turning to gen AI to streamline business processes, develop proprietary AI technology, and reduce manual efforts in order to free up employees to take on more intensive tasks. A recent survey of senior IT professionals from Foundry found that 57% of IT organizations have identified several areas for gen AI use cases, 25% have started pilot programs, and 41
Advertiser: Data Robot
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.
Analytics Vidhya
OCTOBER 28, 2023
Introduction The world of data science has numerous candidates with technical expertise, but only a few excel at problem-solving. When it is about communicating and expressing these skills effectively, some people are great at it naturally, while others develop this ability over time. Fortunately, with the advent of tools such as Tableau, you get access […] The post Top 10 Tableau Projects for Data Science appeared first on Analytics Vidhya.
KDnuggets
OCTOBER 25, 2023
Machine Learning is one of the most exciting fields in computer science today. In this article, we will take a look at the five best yet free books to learn machine learning in 2023.
TDAN
OCTOBER 3, 2023
As a frequent reviewer of data and strategy books, I am always interested in understanding authors’ perspectives on data governance. Two recent books have ideas that are worthy of data governance professionals: “Rewired” by Eric Lamarre, Kate Smaje, and Rodney W. Zemmel; and “Data Is Everybody’s Business” by Barbara H. Wixom, Cynthia M.
AWS Big Data
OCTOBER 25, 2023
As the scale and complexity of microservices and distributed applications continues to expand, customers are seeking guidance for building cost-efficient infrastructure supporting operational analytics use cases. Operational analytics is a popular use case with Amazon OpenSearch Service. A few of the defining characteristics of these use cases are ingesting a high volume of time series data and a relatively low volume of querying, alerting, and running analytics on ingested data for real-time in
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Boris Evelson
OCTOBER 5, 2023
Text analytics is a peculiar software market segment. Vendors typically have a main offering that heavily relies on text mining and analytics, but they rarely position themselves explicitly as “text analytics platforms.
CIO Business Intelligence
OCTOBER 17, 2023
The cloud market has been a picture of maturity of late. The pecking order for cloud infrastructure has been relatively stable, with AWS at around 33% market share, Microsoft Azure second at 22%, and Google Cloud a distant third at 11%. (IBM, Oracle, and Salesforce are in the 2-3% range.) Revenue growth remains solid across the industry, but slowing somewhat, with none of the Big 3 outperforming the others enough to materially alter the balance of power.
Analytics Vidhya
OCTOBER 17, 2023
Introduction One of the most popular applications of large language models (LLMs) is to answer questions about custom datasets. LLMs like ChatGPT and Bard are excellent communicators. They can answer almost anything that they have been trained on. This is also one of the biggest bottlenecks for LLMs. They can only answer the questions they […] The post Build a RAG Pipeline With the LLama Index appeared first on Analytics Vidhya.
KDnuggets
OCTOBER 18, 2023
Large Language Models (LLMs) have unlocked a new era in natural language processing. So why not learn more about them? Go from learning what large language models are to building and deploying LLM apps in 7 easy steps with this guide.
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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.
Jet Global
OCTOBER 10, 2023
From a single solution, organizations can embed cost-effective AI, interactive data visualizations, dashboards, and reports, enhancing the value and engagement of any application RALEIGH, N.C. – October 10, 2023 – insightsoftware , a global provider of reporting, analytics, and performance management solutions, is celebrating the release of extensive new capabilities to th e Logi Symphony software suite to help companies quickly make da ta -rich application experiences that keep their customers
AWS Big Data
OCTOBER 25, 2023
Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Text, images, audio, and videos are common examples of unstructured data. Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media.
IBM Big Data Hub
OCTOBER 17, 2023
Heavy industries, particularly cement, steel and chemicals, are the top greenhouse gas emitting industries, contributing 25% of global CO2 emission. They use high temperature heat in many of their processes that is primarily driven by fossil fuel. Fighting climate change requires lowering heavy industry emissions. However, these industries face tremendous challenges to reduce greenhouse gas emissions.
CIO Business Intelligence
OCTOBER 30, 2023
In today’s digitally transforming world, time is of the essence. Whether you’re looking to deliver a new product release, fix an issue, or enhance a service, the longer you make customers wait, the worse for your business. As you seek to boost agility and speed your organization’s digital transformation, there are some proven principles you can apply.
Advertiser: ZoomInfo
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.
Analytics Vidhya
OCTOBER 13, 2023
Introduction In today’s ever-advancing world of technology, there’s an exciting development on the horizon – Advanced Multi-modal Generative AI. This cutting-edge technology is about making computers more innovative and great, creating content and understanding. Imagine a digital assistant that seamlessly works with text, images, and sounds and generates information.
KDnuggets
OCTOBER 16, 2023
Want to break into data science? Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning.
Smart Data Collective
OCTOBER 6, 2023
Data analytics technology has helped retail companies optimize their business models in a number of ways. One of the biggest benefits of data analytics is that it helps companies improve stability during times of uncertainty. There are inevitable ups and downs that every industry experiences, and recognizing these ebbs and flows can fundamentally impact your business.
AWS Big Data
OCTOBER 9, 2023
Data lakes have been gaining popularity for storing vast amounts of data from diverse sources in a scalable and cost-effective way. As the number of data consumers grows, data lake administrators often need to implement fine-grained access controls for different user profiles. They might need to restrict access to certain tables or columns depending on the type of user making the request.
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Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. No matter where you are in your analytics journey, you will learn about emerging trends and gather best practices from product experts.
IBM Big Data Hub
OCTOBER 4, 2023
At IBM, we believe we can make greater progress together. Our purpose is to be the catalyst that makes the world work better—and our partners are key to this mission. Together with our partners and clients, we work to solve the most complex challenges with AI and hybrid cloud. Last year, we launched our “ Common Grounds ” video series to showcase the value of partnership and how we’re better together.
CIO Business Intelligence
OCTOBER 30, 2023
The past decade in IT has been all about digital transformation. Under the aegis of digital transformation, IT initiatives have become more customer-centric, with a greater emphasis on people, not technology — all in an effort to redefine how the organization operates and to ensure it can keep up with the pace of change, capable of dealing with challenges and taking advantage of opportunities as they arise.
Analytics Vidhya
OCTOBER 25, 2023
Introduction In the revolutionary era of AI, conversational agents or chatbots have emerged as pivotal tools for engaging users, assisting, and enhancing user experience across various digital platforms. Chatbots powered by advanced AI techniques enable automated and interactive conversations that resemble human interactions. With the launch of ChatGPT, the ability to answer user queries has […] The post Empower Multiple Websites with Langchain’s Chatbot Solution appeared first on An
KDnuggets
OCTOBER 12, 2023
SQL is the essential data science language due to its universal database accessibility, efficient data cleaning capabilities, seamless integration with other languages, and requirement for most data science jobs.
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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