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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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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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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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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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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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 150
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5 ways to deploy your own large language model

CIO Business Intelligence

It’s the fastest-moving new technology in history. Generative AI is transforming the world, changing the way we create images and videos, audio, text, and code. According to a September survey of IT decision makers by Dell, 76% say gen AI will have a “significant if not transformative” impact on their organizations, and most expect to see meaningful results within the next 12 months.

Modeling 139
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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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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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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 147
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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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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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Introducing shared VPC support on Amazon MWAA

AWS Big Data

In this post, we demonstrate automating deployment of Amazon Managed Workflows for Apache Airflow (Amazon MWAA) using customer-managed endpoints in a VPC, providing compatibility with shared, or otherwise restricted, VPCs. Data scientists and engineers have made Apache Airflow a leading open source tool to create data pipelines due to its active open source community, familiar Python development as Directed Acyclic Graph (DAG) workflows, and extensive library of pre-built integrations.

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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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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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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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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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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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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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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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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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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.

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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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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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Back to Basics Week 2: Database, SQL, Data Management and Statistical Concepts

KDnuggets

Welcome back to Week 2 of KDnuggets’ "Back to Basics" series. This week, we delve into the vital world of Databases, SQL, Data Management, and Statistical Concepts in Data Science.

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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Clean up your Excel and CSV files without writing code using AWS Glue DataBrew

AWS Big Data

Managing data within an organization is complex. Handling data from outside the organization adds even more complexity. As the organization receives data from multiple external vendors, it often arrives in different formats, typically Excel or CSV files, with each vendor using their own unique data layout and structure. In this blog post, we’ll explore a solution that streamlines this process by leveraging the capabilities of AWS Glue DataBrew.

Metadata 113
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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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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 141
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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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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.