Sat.Dec 02, 2023 - Fri.Dec 08, 2023

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ON DEMAND WEBINAR: Beyond Data Observability

DataKitchen

Do you have data quality issues, a complex technical environment, and a lack of visibility into production systems? These challenges lead to poor quality analytics and frustrated end users. Getting your data reliable is a start, but many other problems arise even if your data could be better. And your customers don't care where the problem is in your toolchain.

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6 generative AI hazards IT leaders should avoid

CIO Business Intelligence

OpenAI’s recent announcement of custom ChatGPT versions make it easier for every organization to use generative AI in more ways, but sometimes it’s better not to. Two AI safety summits in as many weeks on both sides of the Atlantic raised questions about the potential dangers of AI, but neither the science fictional threats of killer robots nor the oddly specific guidelines on exactly which AI models are likely to be regulated will seem particularly helpful to organizations grappling with how to

IT 114
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Data center consolidation: Strategy and best practices

IBM Big Data Hub

The modern pace of data creation is staggering. The average organization produces data constantly—perhaps even continuously—and soon it’s investing in servers to provide ample storage for that information. In time, and probably sooner than expected, the organization accrues more data and outgrows that server, so it invests in multiple servers.

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In-Depth Insights into GPT-4 and XGBoost 2.0: AI’s New Frontiers

Analytics Vidhya

Introduction AI is experiencing a significant shift with the emergence of LLMs like GPT-4, revolutionizing machine understanding and generation of human language. Alongside, xgboost 2.0 emerges as a formidable tool in predictive modelling, enhancing machine learning with improved efficiency and accuracy. This article leads to the capabilities and applications of GPT-4 and xgboost 2.0, examining […] The post In-Depth Insights into GPT-4 and XGBoost 2.0: AI’s New Frontiers appeared fir

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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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Talk Directly to Your Data Using Everyday Language

KDnuggets

DataGPT is a conversational AI data analytics software provider that delivers analysis at the speed of business questions. DataGPT empowers anyone, in any company, to talk directly to their data using everyday language, revealing expert answers to complex questions instantly.

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Phocas AI functionality to make data analysis easier for business people

Phocas

Phocas announces AI functionality that will extend the ease of use of its Analytics product, allowing people to effortlessly query their organization’s consolidated data. Phocas AI will improve the performance of the most widely adopted [1] analytics software favored by mid-market manufacturers, distributors and retailers.

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More Trending

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15 Guided Projects to Sharpen Your Data Science Skills

Analytics Vidhya

Introduction In data science, where innovation meets opportunity, the demand for skilled professionals continues to skyrocket. Data science is not merely a career; it’s a gateway to solving complex problems, driving innovation, and shaping the future. With the industry witnessing an annual growth rate exceeding 36%, a career in data science promises both financial rewards […] The post 15 Guided Projects to Sharpen Your Data Science Skills appeared first on Analytics Vidhya.

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5 Super Cheat Sheets to Master Data Science

KDnuggets

The collection of super cheat sheets covers basic concepts of data science, probability & statistics, SQL, machine learning, and deep learning.

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Reskilling your workforce in the time of AI

IBM Big Data Hub

As the adoption of AI and other technologies continues to expand, it will transform how we perform work with the potential to disrupt 83 million jobs globally and create 69 million new roles by 2025, according to the World Economic Forum. Like other groundbreaking technologies before it, the evolution of AI will create opportunities for new industries, new jobs and new approaches to existing ones.

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When your AI chatbots mess up

CIO Business Intelligence

Barely a year after the release of ChatGPT and other generative AI tools, 75% of surveyed companies have already put them to work, according to a VentureBeat report. But as the numbers of new gen AI-powered chatbots grow, so do the risks of their occasional glitches—nonsensical or inaccurate outputs or answers that are not easily screened out of the large language models (LLMs) that the tools are trained on.

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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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Top 8 AI Trends of 2023: A Year in Review

Analytics Vidhya

As the leaves turn golden and December’s chill settles in, it’s time to reflect on a year that witnessed remarkable advancements in the realm of artificial intelligence. 2023 wasn’t merely a year of progress; it was a year of triumphs, a year where the boundaries of what AI can achieve were repeatedly pushed and reshaped. […] The post Top 8 AI Trends of 2023: A Year in Review appeared first on Analytics Vidhya.

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AWS Clean Rooms proof of concept scoping part 1: media measurement

AWS Big Data

Companies are increasingly seeking ways to complement their data with external business partners’ data to build, maintain, and enrich their holistic view of their business at the consumer level. AWS Clean Rooms helps companies more easily and securely analyze and collaborate on their collective datasets—without sharing or copying each other’s underlying data.

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Smart Video Bloggers Are Leveraging Cloud-Based Marketing Tools

Smart Data Collective

Video blogging (which is often referred to as vlogging) has become a very popular medium for people that want to share their ideas and knowledge with people they would never otherwise reach.

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11 ways to reduce your IT costs now

CIO Business Intelligence

IT leaders have always needed to exercise fiscal responsibility while meeting business demands for technology. But as digital transformation efforts have intensified in recent years, CIOs have had fewer opportunities to pause and reevaluate IT’s financial situation. “Some organizations have been innovating, transforming, and growing so fast that they haven’t had time to clear up older cost structures that start getting in the way,” says Stewart Buchanan, research vice president on Gartner’s CIO

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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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Here’s How You May Start Using Google’s Gemini?

Analytics Vidhya

Step into the future of conversational AI with Google’s Gemini AI, a model offering unparalleled capabilities in understanding, summarizing, reasoning, coding, and planning. In this article, we’ll talk about how you may start using Gemini AI right now, within Google’s Bard chatbot, unlocking new dimensions of interactive and refined chat experiences.

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7 Reasons Why You Shouldn’t Become a Data Scientist

KDnuggets

Is data science really the right career option for you? Well, it depends. And that is why we put together this opinionated guide with insights from data professionals.

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Technology in Physical Security: A Guide to Business Safety

Smart Data Collective

Artificial intelligence technology has been very helpful for businesses all over the world. A growing number of businesses are leveraging AI to boost employee productivity, optimize financial management, streamline marketing strategies and mitigate the risk of fraud. Despite its many benefits, companies underutilize AI technology.

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Workplace griping: The key release valve your culture lacks

CIO Business Intelligence

Collaboration suites have an annoying blind spot: They don’t help employees bump into each other. Once upon a time we had “telecommuting” and it was controversial. Most managers and executives figured letting employees work from home was doing them a favor. But, filled with optimism bias, the IT industry busily crafted collaboration suites whose purpose was to reproduce the in-person work experience on-screen.

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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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NVIDIA Prioritizes Japan for Supply of AI Processors

Analytics Vidhya

In a crucial move reflecting the global race for dominance in artificial intelligence (AI) technology, NVIDIA CEO Jensen Huang has affirmed the company’s commitment to prioritizing Japan’s soaring demand for AI processors. This commitment aligns with Japan’s ambitious endeavors to revitalize its semiconductor infrastructure and make significant strides in AI technology development.

Analytics 273
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5 Free Courses to Master MLOps

KDnuggets

Have you finished learning the basics of machine learning and now wondering what's next? You're in the right place!

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Cracking the Code: How Dataiku's AI Assistant Upgrades Data Science Workflows

Dataiku

Full disclosure: As a citizen data scientist, I’ve never formally trained as a software developer or professional data engineer. However, I do have plenty of experience iterating through code until I meet my goals — whether that’s doing exploratory data analysis (EDA) in a notebook to understand a dataset, engineering features in preparation for machine learning, or reusing code someone else has written for a specific data task.

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Delivering value through IT at Village Roadshow

CIO Business Intelligence

More is expected of a CIO these days, and it’s debatable whether that’s a change for the better or not. But according to Michael Fagan, chief transformation officer of Australian cinema and theme park company Village Roadshow, the positive change of the role is about being less focused on cost and more around value-added delivery. Village Roadshow owns and operates, on one hand, theme parks on the Gold Coast, like Warner Brothers Movie World, SeaWorld, and Wet and Wild, among others, and on the

IT 96
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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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How Nexusflow’s NexusRaven-V2 Beats GPT-4 at Its Own Game!

Analytics Vidhya

In the rapidly evolving landscape of artificial intelligence, a new contender has emerged, challenging the dominance of established AI models. Nexusflow, a name that’s buzzing in tech circles, has unveiled an open-source generative AI model, NexusRaven, that not only empowers developers with more accessible tools but also claims to outperform the mighty GPT-4 in zero-shot […] The post How Nexusflow’s NexusRaven-V2 Beats GPT-4 at Its Own Game!

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Beyond Guesswork: Leveraging Bayesian Statistics for Effective Article Title Selection

KDnuggets

The article discusses how Bayesian multi-armed bandit algorithms can optimize digital media title selection, surpassing traditional A/B testing methods, demonstrated with a Python example, to boost audience engagement and decision-making in content creation.

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AI Can Manage Credit Card Cybersecurity Risks

Smart Data Collective

There is a dark side of AI – it has led to a proliferation of cyberattacks. Cybersecurity threats are becoming increasingly dangerous for people all over the world. A growing number of businesses are grappling with the growing number of cyberattacks, especially as more hackers use AI to conduct data breaches.

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Cybersecurity for enterprise: 10 essential PAM considerations for modern hybrid enterprises

CIO Business Intelligence

Supporting enterprise security during a cloud migration can be rife with pitfalls that can derail the initiative and ruin the customer experience. It’s no joke—I know a finance director who suffered this fate. She joined the company in the middle of a corporate cloud transformation initiative and inherited a new Privileged Access Management (PAM) solution as part of an enterprise cybersecurity overhaul.

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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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Is AI Taking Over Kitchen? McDonald’s Joins Hand with Google to Deploy GenAI

Analytics Vidhya

In a move to redefine fast-food technology, McDonald’s and Google partnered to deploy Generative AI beginning in 2024. The global alliance, spanning multiple years, aims to seamlessly integrate Google Cloud technology across McDonald’s vast network of restaurants worldwide. This strategic collaboration marks a significant forward leap, propelling its restaurant technology platform into an unprecedented realm […] The post Is AI Taking Over Kitchen?

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Mastering Data Science Workflows with ChatGPT

KDnuggets

This article highlights the skills data scientists can learn to make the most use of the prowess of ChatGPT.

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Retailers can tap into generative AI to enhance support for customers and employees

IBM Big Data Hub

As the retail industry witnesses a shift towards a more digital, on-demand consumer base, AI is becoming the secret weapon for retailers to better understand and cater to this evolving consumer behavior. With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications.

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How to create an effective business continuity plan

CIO Business Intelligence

The tumultuous events of the past several years have impacted practically every business. And with the number of extreme weather events, cyberattacks, and geopolitical conflicts continuing to rise, business leaders are bracing for the possibility of increasingly more frequent impactful incidents their organizations will need to respond to. According to PwC’s 2023 Global Crisis and Resilience Survey , 96% of 1,812 business leaders said their organizations had experienced disruption in the past tw

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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.