February, 2023

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10 ways to accelerate digital transformation

CIO Business Intelligence

The pandemic-era push to quickly boost digital touchpoints and services proved that transformation can happen fast. That has left a lasting legacy: Even as the pandemic recedes, enterprise executives continue to expect CIOs and their IT departments to deliver transformative capabilities at a rapid-fire pace. If you think you’re keeping up, think again: One recent study from research firm Gartner found that the majority of CEOs (59%) say digital initiatives take too long and 52% take too long to

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Generative AI is the biggest and hottest trend in AI (Artificial Intelligence) at the start of 2023. While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities.

Strategy 289
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Cost still biggest driver for multicloud, study finds

CIO Business Intelligence

Italian insurer Reale Group found itself with four cloud providers running around 15% of its workloads, and no clear strategy to manage them. “It was not a result we were seeking, it was the result of reality,” said Marco Barioni, CEO of Reale ITES, the company’s internal IT engineering services unit. Since then, Barioni has taken control of the situation, putting into action a multi-year plan to move over half of Reale Group’s core applications and services to just two public clouds in a quest

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Use of ML in HealthCare: Predictive Analytics and Diagnosis

Analytics Vidhya

Introduction Do you know that the majority of medical errors are caused by misdiagnosis? Because many diseases have similar symptoms, which is difficult for doctors to give accurate results. The main reasons for misdiagnosis are a lack of experienced doctors, lack of time with patients, lack of resources, etc. What if some technology can overcome […] The post Use of ML in HealthCare: Predictive Analytics and Diagnosis appeared first on Analytics Vidhya.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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AI Hallucinations: A Provocation

O'Reilly on Data

Everybody knows about ChatGPT. And everybody knows about ChatGPT’s propensity to “make up” facts and details when it needs to, a phenomenon that’s come to be called “hallucination.” And everyone has seen arguments that this will bring about the end of civilization as we know it. I’m not going to argue with any of that. None of us want to drown in masses of “fake news,” generated at scale by AI bots that are funded by organizations whose intentions are most likely malign.

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Docker for Data Science Cheat Sheet

KDnuggets

Docker is dependency management on steroids, helping to ensure both reproducibility and collaboration, making it an important tool for data science. Our latest cheat sheet serves as a handy Docker reference. Check it out now!

More Trending

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Data Analytics Technology Proves Benefits of an MBA

Smart Data Collective

We have talked about ways that big data can help grow your business. But big data can also help demonstrate the importance of pursuing a degree in business as well. Data analytics technology is constantly shedding new insights into our lives. Many things are well observed through anecdotal experiences, but we have had a hard time proving them before data analytics technology became mainstream.

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5 hot IT budget investments — and 2 going cold

CIO Business Intelligence

The economy may be looking uncertain, but technology continues to drive the business and CIOs are investing big in 2023. At the same time, they are defunding technologies that no longer contribute to business strategy or growth. It’s not a stretch to say that across the board, CIOs are continuing to invest in some form of AI. Upgrading cloud infrastructure is critical for deploying broad AI initiatives more quickly, so that’s a key area where investments are being made this year.

IT 145
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Azure Databricks: A Comprehensive Guide

Analytics Vidhya

Introduction Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform that is built on top of the Microsoft Azure cloud. A collaborative and interactive workspace allows users to perform big data processing and machine learning tasks easily. In this blog post, we will take a closer look at Azure Databricks, its key features, […] The post Azure Databricks: A Comprehensive Guide appeared first on Analytics Vidhya.

Big Data 381
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Sydney and the Bard

O'Reilly on Data

It’s been well publicized that Google’s Bard made some factual errors when it was demoed, and Google paid for these mistakes with a significant drop in their stock price. What didn’t receive as much news coverage (though in the last few days, it’s been well discussed online) are the many mistakes that Microsoft’s new search engine, Sydney, made.

Testing 217
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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PySpark for Data Science

KDnuggets

In this tutorial, we will learn to Initiates the Spark session, load, and process the data, perform data analysis, and train a machine learning model.

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Power BI and the Dimensional Dilemma

Paul Turley

There is no secret about this. If you do any legitimate research about Power BI (reading blogs, books or training from reliable sources), you will quickly learn that a lot of basic functionality requires a dimensional model, aka "Star Schema". This is a hard fact that every expert promotes, and self-taught data analysts either have learned or will learn through experience.

Modeling 121
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Data Mining Technology Helps Online Brands Optimize Their Branding

Smart Data Collective

In the digital age, online brands constantly look for ways to improve their branding and stay ahead of the competition. Data mining technology is one of the most effective ways to do this. By analyzing data and extracting useful insights, brands can make informed decisions to optimize their branding strategies. This article will explore data mining and how it can help online brands with brand optimization.

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How the ‘diversity hire’ accusation and other barriers remain for Black women in tech

CIO Business Intelligence

Black women in technology are burnt out and impatient with an IT industry slow to change. More than a dozen Black women working in technology roles, across a wide range of industries and at varying levels of seniority, spoke to CIO.com on the back of a British Computer Society (BCS) and Coding Black Females (CBF) report— The Experiences of Black Women in the IT Industry , fielded in the summer of 2021 but launched last October—that found that total representation of Black people in the UK IT wor

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Future of AI and Machine Learning in Cybersecurity

Analytics Vidhya

Introduction Artificial Intelligence (AI) and Machine Learning (ML) have rapidly become some of the most important technologies in the field of cybersecurity. With the increasing amount of data and sophisticated cyber threats, AI and ML are being used to strengthen the security of organizations and individuals. AI and ML are used to analyze large amounts of […] The post Future of AI and Machine Learning in Cybersecurity appeared first on Analytics Vidhya.

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Regulation: Hurdle or Driver for Data Analytics in Financial Services

Teradata

In the aftermath of the 2008 financial crash, service providers have been subject to increasing rules & requirements. To what extent has this climate held back advances in data analytics?

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20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 2

KDnuggets

Can ChatGPT provide answers to data science questions to the same standard of humans? Check out this attempt to do so, and compare the answers to those from experts.

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SQL Streambuilder Data Transformations

Cloudera

SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL as a part of Cloudera Streaming Analytics, built on top of Apache Flink. It enables users to easily write, run, and manage real-time continuous SQL queries on stream data and a smooth user experience. Though SQL is a mature and well understood language for querying data, it is inherently a typed language.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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The Surprising Benefits of Data Analytics for Furniture Stores

Smart Data Collective

Data analytics technology has played a huge role in the future of small businesses. One study from March 2020 showed that 67% of small businesses spend over $10,000 a year on data analytics. Of course, this statistic predates the pandemic. Many businesses have since invested even more in their data analytics infrastructure, since they have relied more heavily on digital technology in a post-pandemic world.

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Must Read: New Trends for Digital Transformation in 2023 – Value Stream Management

CIO Business Intelligence

For many of today’s global enterprises, it’s a struggle to adapt quickly to emerging challenges. With supply chain issues and the impending recession, digital transformation remains a pressing strategic imperative. However, key digital transformation milestones remain out of reach for far too many teams. To make real strides in each of these areas, Value Stream Management (VSM) has emerged as an urgent demand.

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Learning the Basics of Deep learning, ChatGPT, and Bard AI

Analytics Vidhya

Introduction Artificial Intelligence is the ability of a computer to work or think like humans. So many Artificial Intelligence applications have been developed and are available for public use, and chatGPT is a recent one by Open AI. ChatGPT is an artificial intelligence model that uses the deep model to produce human-like text. It predicts […] The post Learning the Basics of Deep learning, ChatGPT, and Bard AI appeared first on Analytics Vidhya.

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More cybersecurity using the password

CONTACT Software

Today is “change your password day” again. A well-intentionedinitiative for more IT security. Coming originally from the military context of the 1960s, the recommendation to change your password regularly can still be found in many corporate policies today.

IT 111
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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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10 Free Machine Learning Courses from Top Universities

KDnuggets

Learn the basics of machine learning, including classification, SVM, decision tree learning, neural networks, convolutional, neural networks, boosting, and K nearest neighbors.

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Creating and Displaying a Last Refresh Date Measure

Paul Turley

usiness users often need to know how fresh the data is that they see on a Power BI report. This requirement can be interpreted to mean either "when was the last date & time that the source data was updated?" or "when was the last date & time that the data model was refreshed?" I've used a few different approaches to record the actual date and time, but all generally using the same technique.

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Advances in Data Analytics Are Rapidly Transforming Nursing

Smart Data Collective

Big data technology is driving major changes in the healthcare profession. In particular, big data is changing the state of nursing. Nursing professionals will need to appreciate the importance of big data and know how to use it effectively. Keep reading to learn more. The Growing Relevance of Big Data in the Nursing Profession Healthcare technology is changing all the time.

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Product-based IT fuels Lufthansa’s digital CX transformation

CIO Business Intelligence

Like many airlines, Lufthansa Group had its business upended by the COVID-19 pandemic. By April 2020, with travel bans proliferating, the airline suffered losses of €1 million per hour. Thomas Rückert, senior vice president and CIO of Lufthansa Group, says those early days of the pandemic laid bare that the airline’s digital solutions were not scalable.

IT 144
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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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30 Best Data Science Books to Read in 2023

Analytics Vidhya

Introduction Data science has taken over all economic sectors in recent times. To achieve maximum efficiency, every company strives to use various data at every stage of its operations. Each aspect of data science, like data preparation, the importance of big data, and the process of automation, contributes to how data science is the future […] The post 30 Best Data Science Books to Read in 2023 appeared first on Analytics Vidhya.

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Story Endings Are Hard

Juice Analytics

“Endings are hard” is the subject of a recent episode of Malcolm Gladwell’s podcast Revisionist History. He shares a live stage with comedian Mike Birbiglia, an extremely accomplished storyteller in his own right. Together they bemoan the inadequacy of many story endings. Gladwell compares how we evaluate people and how we evaluate stories. Unlike our snap judgements about people, …our evaluation of stories is the opposite.

IT 105
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skops: a new library to improve scikit-learn in production

KDnuggets

There are various challenges in MLOps and model sharing, including, security and reproducibility. To tackle these for scikit-learn models, we've developed a new open-source library: skops. In this article, I will walk you through how it works and how to use it with an end-to-end example.

Modeling 133
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Why Users Love Dataiku: Stories From the Community

Dataiku

The Dataiku Community is in high spirits this February as we mark three years since the launch of our online community and 10 years since the founding of Dataiku. As we look ahead to the future of AI, we’re grateful for the support of our users, who have been with us on this journey every step of the way.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.