October, 2023

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7 sins of digital transformation

CIO Business Intelligence

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.

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Preliminary Thoughts on the White House Executive Order on AI

O'Reilly on Data

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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Trending Sources

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Embedded Analytics Buyers Guide: Market Observations

David Menninger's Analyst Perspectives

The 2023 Ventana Research Buyers Guide for Embedded Analytics research enables me to provide observations about how the market has advanced.

Marketing 284
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7 ways diversity and inclusion help teams perform better

CIO Business Intelligence

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.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Fine-Tuning, Retraining, and Beyond: Advancing with Custom LLMs

Analytics Vidhya

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.

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Drag, Drop, Analyze: The Rise of No-Code Data Science

KDnuggets

No-code or low-code functionalities in data science have gained significant traction in recent years. These solutions are well-proven and matured, and they make data science more accessible to a wider range of people.

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Managing Seasonal Fluctuations in Retail with Analytics

Smart Data Collective

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.

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The Buyers Guide for Augmented Analytics Classifies and Rates Vendors

David Menninger's Analyst Perspectives

I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Augmented Analytics Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Analytics and Data vendors supporting the

Analytics 279
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7 cloud market trends and how they will impact IT

CIO Business Intelligence

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.

Marketing 144
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Build a RAG Pipeline With the LLama Index

Analytics Vidhya

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.

Modeling 321
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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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5 Free Books to Master Machine Learning

KDnuggets

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.

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Spark on AWS Lambda: An Apache Spark runtime for AWS Lambda

AWS Big Data

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.

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Fresh Ideas for Data Governance Professionals

TDAN

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.

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The Buyers Guide for Embedded Analytics Classifies and Rates Vendors

David Menninger's Analyst Perspectives

I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Embedded Analytics Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Analytics vendors supporting the spectrum

Analytics 273
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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How Value Stream Management is fueling success at Boeing, Tyson, and Verizon

CIO Business Intelligence

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.

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Top 10 Tableau Projects for Data Science

Analytics Vidhya

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.

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7 Steps to Mastering Large Language Models (LLMs)

KDnuggets

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.

Modeling 139
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RN Coders Can Improve Hospital Data Strategies

Smart Data Collective

Healthcare providers are investing more heavily in big data technology, as they strive to deal with growing challenges such as declining operating margins and an increasingly complex regulatory environment. However, many healthcare providers lack the technology or knowledge to use data prudently. One study found that 56% of hospitals do not have any data analytics or governance strategies.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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From “Text Analytics” to “Text and Document Mining and Analytics Platforms”

Boris Evelson

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.

Analytics 114
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The Buyers Guide for Collaborative Analytics Classifies and Rates Vendors

David Menninger's Analyst Perspectives

I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Collaborative Analytics Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Analytics vendors supporting the spec

Analytics 271
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11 most in-demand gen AI jobs companies are hiring for

CIO Business Intelligence

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

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Exploring the Advanced Multi-Modal Generative AI

Analytics Vidhya

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.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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5 Free Books to Master Data Science

KDnuggets

Want to break into data science? Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning.

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Apache Iceberg optimization: Solving the small files problem in Amazon EMR

AWS Big Data

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

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How foundation models can help make steel and cement production more sustainable

IBM Big Data Hub

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.

Modeling 108
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Analytics and Data Buyers Guide 2023: Market Observations

David Menninger's Analyst Perspectives

The 2023 Ventana Research Buyers Guide for Analytics and Data research enables me to provide observations about how the market has advanced.

Marketing 290
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The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. ♻️ Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. 📊 Join us for a practical webinar hosted by Kevin Kai Wong of Emergent Ene

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8 tips for cultivating a winning IT culture

CIO Business Intelligence

Winning IT organizations aren’t built in a day. Long-term success is generally the result of leaders who make a committed effort to connect directly with their teams, rather than simply issuing memos, edicts, and other top-down commands. Employees want to work for leaders who inspire them, engage them, challenge them, and give them opportunities to grow and be effective, says Ola Chowning, a partner with technology research and advisory firm ISG.

IT 142
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Integrating Generative AI and Reinforcement Learning for Self-Improvement

Analytics Vidhya

Introduction In the ever-evolving landscape of artificial intelligence, two key players have come together to break new ground: Generative AI and Reinforcement Learning. These cutting-edge technologies, Generative AI and Reinforcement Learning, have the potential to create self-improving AI systems, taking us one step closer to realizing the dream of machines that learn and adapt autonomously.

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Why SQL is THE Language to Learn for Data Science

KDnuggets

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.

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Quantum Computing with @hellodavidryan: TDI 24

Data Science 101

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. Note: The views in these interviews are personal views and do not represent the interviewee’s employer. “Within ten years there will be everything from small form factor QPUs doing 10 to 30 qubits as a part of roaming networks of devices, through to crazy large quantum devices doing thousands

Risk 107
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.