Sat.Nov 11, 2023 - Fri.Nov 17, 2023

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10 digital transformation roadblocks — and 5 tips for overcoming them

CIO Business Intelligence

In today’s fast-paced business world, companies are striving to harness the power of digital technologies to reinvent their operations, enhance customer experiences, drive innovation, and thereby create value for stakeholders. But the hard truth is that many digital initiatives fail to deliver results. Transformation efforts can be derailed for any number of reasons, but there are several common themes as to why digital initiatives fall short — and most revolve around leadership.

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7 Essential Data Quality Checks with Pandas

KDnuggets

Learn how to perform data quality checks using pandas. From detecting missing records to outliers, inconsistent data entry and more.

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How to accelerate your data monetization strategy with data products and AI

IBM Big Data Hub

Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. A value exchange system built on data products can drive business growth for your organization and gain competitive advantage. This growth could be internal cost effectiveness, stronger risk compliance, increasing the economic value of a partner ecosystem, or through new revenue streams.

Strategy 103
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Creativity Isn’t Just Remixing

O'Reilly on Data

This is not the first time that I’ve written about AI creativity, and I doubt that it will be the last. It’s a question that comes up repeatedly, and that is very much in the current mind, with events like the strikes by the Writers’ Guild of America and the Screen Actors Guild , in which the use of AI to create scripts and to generate images of actors was an issue.

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Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

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A Comprehensive Guide to Train-Test-Validation Split in 2023

Analytics Vidhya

Introduction A goal of supervised learning is to build a model that performs well on a set of new data. The problem is that you may not have new data, but you can still experience this with a procedure like train-test-validation split. Isn’t it interesting to see how your model performs on a data set? […] The post A Comprehensive Guide to Train-Test-Validation Split in 2023 appeared first on Analytics Vidhya.

Testing 328
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5 Free Courses to Master Data Science

KDnuggets

Want to break into data science? Start upskilling today with these free courses to learn programming, data analysis, and machine learning.

More Trending

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Unlock innovation in data and AI at AWS re:Invent 2023

AWS Big Data

For organizations seeking to unlock innovation with data and AI, AWS re:Invent 2023 offers several opportunities. Attendees will discover services, strategies, and solutions for tackling any data challenge. In this post, we provide a curated list of keynotes, sessions, demos, and exhibits that will showcase how you can unlock innovation in data and AI using AWS for Data.

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Sam Altman fired as CEO of OpenAI

Analytics Vidhya

In a surprising turn of events, OpenAI, the leading artificial intelligence research lab, has announced the termination of its co-founder and CEO, Sam Altman. This unexpected decision, announced on November 17, 2023, has sent ripples through the tech industry, raising questions about the future of the organization and its AI research. Chief technology officer Mira […] The post Sam Altman fired as CEO of OpenAI appeared first on Analytics Vidhya.

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7 Steps to Running a Small Language Model on a Local CPU

KDnuggets

Discover how to run a small language model on your local CPU in just seven easy steps.

Modeling 137
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CIO as enabler: Building an ecosystem of innovation partners

CIO Business Intelligence

There’s significant debate about the future of the CIO role , but one thing is clear: Digital leaders who want to be successful must look beyond the firewall and link up with an ecosystem of vendor partners, startups, and other organizations to ensure the enterprise thrives. The reason for this shift is simple: While CIOs can often call on talented teams of internal IT professionals to deliver business solutions, no technology department can be expected to generate every innovation necessary to

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. Athena provides a simplified, flexible way to analyze petabytes of data where it lives. You can analyze data or build applications from an Amazon Simple Storage Service (Amazon S3) data lake and 30 data sources, including on-premises data sources or other cloud systems using SQL or Python.

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Microsoft Unveils first AI chip: Maia 100 Chip and Cobalt CPU

Analytics Vidhya

In a groundbreaking move at the annual Ignite conference, Microsoft unveiled the highly anticipated Maia 100 chip and Cobalt CPU. This strategic initiative aims to seize control of technology, establishing dominance in the fiercely competitive AI computing market. CEO Satya Nadella outlined ambitious plans to harness the power of these innovative chips.

Marketing 336
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Everything you need to become a SAS Certified Machine Learning Engineer

KDnuggets

Read on to find out everything you need to become a SAS Certified Machine Learning Engineer.

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Microsoft Ignite 2023: 11 takeaways for CIOs

CIO Business Intelligence

This year’s Microsoft Ignite developer conference might as well be called AIgnite, with over half of the almost 600 sessions featuring artificial intelligence in some shape or form. Generative AI, in particular, is at the heart of many of the new product announcements Microsoft is making at the event, including new AI capabilities for wrangling large language models (LLMs) in Azure, new additions to its Copilot range of generative AI assistants, new hardware, and a new tool to help developers de

Sales 135
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Generative AI & Dirty Data

Timo Elliott

Data is like children, it’s constantly on the move, and loves to get dirty — but holds out the promise of huge new value in the organization, thanks to Generative AI. I just listened to industry veteran analysts Jon Reed and Josh Greenbaum discuss the recent ASUG Tech Connect Event in Orlando. I strongly urge you to take a listen to the whole thing , but one thing jumped out: that bad data is one of the biggest problems organizations face when trying to take advantage of Generative A

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A Deep Dive into Model Quantization for Large-Scale Deployment

Analytics Vidhya

Introduction In AI, two distinct challenges have surfaced: deploying large models in cloud environments, incurring formidable compute costs that impede scalability and profitability, and accommodating resource-constrained edge devices struggling to support complex models. The common thread among these challenges is the imperative to shrink model size without compromising accuracy.

Modeling 335
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The 5 Best Vector Databases You Must Try in 2024

KDnuggets

The top vector databases are known for their versatility, performance, scalability, consistency, and efficient algorithms in storing, indexing, and querying vector embeddings for AI applications.

Modeling 137
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How ServiceNow gets the most out of generative AI

CIO Business Intelligence

Competition among software vendors to be “the” platform on which enterprises build their IT infrastructure is intensifying, with the focus of late on how much noise they can make about their implementation of generative AI features. ServiceNow wasn’t the first to announce its generative AI capabilities, but it was among the first of the major platform vendors to make them generally available to all customers.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Use custom domain names with Amazon Redshift

AWS Big Data

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With Amazon Redshift, you can analyze all your data to derive holistic insights about your business and your customers. Amazon Redshift now supports custom URLs or custom domain names for your data warehouse. You might want to use a custom domain name or CNAME (Canonical Name) for the following reasons: A custom domain name is straightforward to recall and use.

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OpenAI Gears Up for GPT-5 Development with Microsoft’s Backing

Analytics Vidhya

In a daring move signalling the next AI frontier, OpenAI’s CEO Sam Altman hints at developing GPT-5, the successor to the wildly popular ChatGPT. This initiative, possibly backed by Microsoft’s financial support, is poised to redefine AI boundaries and achieving AGI. The Evolution of Generative AI OpenAI, a leading AI research lab, has led generative […] The post OpenAI Gears Up for GPT-5 Development with Microsoft’s Backing appeared first on Analytics Vidhya.

Analytics 328
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Make Your Own GPTs with ChatGPT’s GPTs!

KDnuggets

Want to out-GPT ChatGPT with your own GPT? Then let's GPT the GPTs!

Modeling 133
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We’re all becoming software CIOs — a role Red Hat CIO Jim Palermo knows well

CIO Business Intelligence

Whether you sell cars, candy, consulting, or construction, software is moving to the center of your business. Your products and services rely on software and data for nearly everything from product development to aftermarket support. So congratulations! You’ve become (or will become) what is, essentially, a software company CIO. I’ve been writing about how life is different for software company CIOs for years — more specifically, on how they must make clearer distinctions between IT and product

Software 133
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Predicting the Future of Sales: How AI and Automation Will Revolutionize Strategies

In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.

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IBM named a Leader in The Forrester Wave™: Digital Process Automation Software, Q4 2023

IBM Big Data Hub

Forrester Research just released “The Forrester Wave™: Digital Process Automation Software, Q4 2023: The 15 Providers That Matter Most And How They Stack Up” by Craig Le Clair with Glenn O’Donnell, Renee Taylor-Huot, Lok Sze Sung, Audrey Lynch, and Kara Hartig and IBM is proud to be recognized as a Leader. IBM named a Leader In the report, Forrester Research evaluated 15 digital process automation (DPA) providers against 26 criteria in three categories: Current offering,

Software 108
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The Next Frontier of Email Efficiency with LLMs

Analytics Vidhya

Introduction Artificial intelligence (AI) has grown significantly in the past few years, mainly because of the rise of large language models (LLMs). These sophisticated AI systems, trained on vast datasets containing abundant human language, have driven myriad technological advancements. LLMs’ sheer scale and complexity, such as GPT-3 (Generative Pre-trained Transformer 3), have elevated them to […] The post The Next Frontier of Email Efficiency with LLMs appeared first on Analytics Vidhya

Modeling 326
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Optimizing Data Analytics: Integrating GitHub Copilot in Databricks

KDnuggets

Integrating AI-powered pair programming tools for data analytics in Databricks optimizes and streamlines the development process, freeing up developer time for innovation.

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4 steps to connect change management and DevOps

CIO Business Intelligence

It’s no secret that companies are committing to DevOps. In fact, according to a recent survey, three-quarters of leaders have adopted DevOps into their operations. DevOps delivers speed and agility to the development process. By cross-training operations and engineering, development teams can move faster through better collaboration, making continuous integration and continuous delivery (CI/CD) a reality for organizations.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Top 6 Kubernetes use cases

IBM Big Data Hub

Kubernetes , the world’s most popular open-source container orchestration platform , is considered a major milestone in the history of cloud-native technologies. Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

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OpenAI Faces Surge in Demand: Pauses ChatGPT Plus Sign-ups

Analytics Vidhya

OpenAI, a pioneer in artificial intelligence, grapples with an overwhelming surge in demand, prompting a temporary suspension of new subscriptions for its premium ChatGPT Plus service. CEO Sam Altman, addressing the surge in usage following DevDay, acknowledges capacity challenges and emphasises a commitment to ensuring an impeccable user experience.

Analytics 318
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Master Data Science with the 3rd Best Online Program

KDnuggets

Go beyond business analytics with Bay Path University's Flexible MS in Applied Data Science. Enrolling now for March.

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IHG maximizes hospitality with multicloud

CIO Business Intelligence

For IHG Hotels and Resorts, the cloud provides just the right accommodation for business success. “First and foremost we see our journey to the cloud as the most extremely important part of both our technology and commercial strategies,” says George Turner, chief commercial and technology officer of the British multinational, which relies heavily on its sophisticated cloud infrastructure, chatbots, and AI to drive more digital business at its 19 hotel brands — more so at the edge.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.