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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Trending Sources

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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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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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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!

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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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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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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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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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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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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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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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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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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 363
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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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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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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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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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Big Data is Changing the Student Financial Aid Process

Smart Data Collective

Over the last few years, the demand for student loans and financial aid has significantly increased as many employers are now dismissing applicants who are without college educations. While this was always the case for certain niches in the past, it’s becoming an increasingly popular practice even among retail and part-time positions that usually don’t have such harsh restrictions on their employees.

Big Data 118
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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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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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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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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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A Futuristic Vision For The Middle East?

Timo Elliott

I recently had the honor of being a presenter and moderator at some internal kickoffs in the (incredibly dynamic) Middle East region, and with tongue firmly in cheek, I had fun with text-to-AI algorithms to portray what the future might look like: City skylines with flying taxis? A certain software company’s middle east office of the future, with view over the desert (and robot employees?

Software 105
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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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What is predictive analytics? Transforming data into future insights

CIO Business Intelligence

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. The science of predictive analytics can generate future insights with a significant degree of precision. With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behavi

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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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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 138
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10 Steps To Creating a Presentation

Timo Elliott

A few months ago I was asked for some advice about how I put together presentations as an Innovation Evangelist, and this post is a reworked version of those points. First, the context: most of the presentations I give are keynote-style presentations on the trends around the intersection of business and technology to diverse audiences (i.e. some mix of business technical people, different industries, lines of business, regions, etc.).

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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.