Sat.Dec 17, 2022 - Fri.Dec 23, 2022

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Bold 2023 Data Predictions

TDAN

Special thank you to Altair for providing the following set of bold predictions for 2023. The data world continues to change rapidly and you may want to consider these predictions when planning for the new year. The rise of generative AI startups: Generative artificial intelligence exploded in 2022. In this next year, we will see text […].

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Data’s Gender Gap: What Am I Doing About It?

TDAN

As one can easily tell by looking at the history of this column, I am not only professionally, but also personally interested in studying gender equity. I am toward the end of a master’s degree in educational psychology that focuses primarily on education research. Please enjoy this excerpt from a study I recently completed that […].

IT 52
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8 Reasons Why Digital Transformations Fail (11 CIOs Weigh In)

Alation

The future of business is digital. But that future is already here. To remain relevant, organizations seek “ digital transformation ,” a business philosophy steeped in change and in which technology plays a heavy hand supporting business models and value propositions. Although digital transformation can mean many things, it’s the businesses with integrated and digitized business processes that are more adaptable, agile, and armed against threats from more recent pure-play, digital-native competi

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How to Get Your First Job in Data Science without Any Work Experience

KDnuggets

Creativity, grit, and perseverance will become the three words you live by.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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Top cloud strategy mistakes CIOs can’t help making

CIO Business Intelligence

Cloud adoption continues its meteoric rise, with IT leaders increasingly going all-in on the platform. But succeeding in the cloud can be complex, and CIOs have continued to fumble their cloud strategies in 2022 in a variety of ways, industry observers say. Topping the list of typical cloud strategy are three mistakes that fall under the heading of mental blueprint blunders: assuming that a cloud strategy is an IT-only endeavor, that all data must be moved to the cloud, and that a cloud strategy

Strategy 119
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Digital Transformation and the Evolving Role of CIOs

CIO Business Intelligence

By Chet Kapoor, Chairman & CEO of DataStax Enterprises have been talking about digital transformation for quite a while. It’s about rethinking how we use technology to drive new or improved strategy, people, and operations to meet changing business and customer needs. But what does digital transformation mean for the CIO? How has their role evolved through the three stages of transformation, and what does this mean for the future?

More Trending

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Optimizing the Energy Sector with Data Analytics

Cloudera

Across the energy supply chain from generation to consumer, we can see that the trend toward investing in renewable energy has picked up pace as demand has grown for energy companies to actively pursue investments in energies with little or no environmental impact in the quest for decarbonisation. McKinsey estimates that by 2035, 50% of energy will be wind and solar.

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Guide to Dealing with Sparse Datasets?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Source – Unsplash Welcome to our guide on dealing with sparse datasets! In this guide, we will explore a common problem that can arise when working with data: sparsity. But what is a sparse dataset, you may ask? Imagine you are trying to […]. The post Guide to Dealing with Sparse Datasets?

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Cloud Computing Realities Part 4 — Security and Governance

David Menninger's Analyst Perspectives

In previous perspectives in this series, I’ve discussed some of the realities of cloud computing including costs , hybrid and multi-cloud configurations and business continuity. This perspective examines the realities of security and regulatory concerns associated with cloud computing. These issues are often cited by our research participants as reasons they are not embracing the cloud.

Risk 268
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What Can AI-Powered RPA and IA Mean For Businesses?

KDnuggets

RPA and IA have stunned the business world by availing impressive, intelligent automation capabilities for scales of businesses across industries, which we'll know in this blog.

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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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The Top Cloud Security Threat Comes from Within

CIO Business Intelligence

One of the biggest cloud security threats your company faces isn’t malicious. In fact, it originates from inside your IT organization. Accidental misconfigurations pose one of the leading security vulnerabilities IT organizations contend with in the cloud. According to a recent study , 79% of companies had experienced a cloud data breach in the past 18 months—and 67% of respondents had identified security misconfiguration as the top security threat.

Risk 142
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How to Create a Telegram BOT Using Python?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In addition to socializing with pals, humans are addicted to their smartphones. We primarily communicate via social media, such as WhatsApp, Facebook, Telegram, Instagram, and many others. It’s always interesting to see how people start using technology on social media platforms.

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Master Metrics with Kyligence Zen

David Menninger's Analyst Perspectives

Analytics processes are all about how organizations use data to create metrics that help manage and improve operations. Yet, the discipline applied to analytics processes seems to be lacking compared to data processes. I’ve pointed out that the weak link in data governance is often analytics. Organizations can also do a better job tying AnalyticOps to DataOps and do more to define and manage metrics.

Metrics 144
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Getting Started with Scikit-learn for Classification in Machine Learning

KDnuggets

The tutorial will introduce you to the scikit-learn module and its various features. It will also give you a brief overview of the multiclass classification problem through various algorithms.

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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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Due diligence is ever more critical as the battle for cloud sovereignty intensifies

CIO Business Intelligence

In the last few weeks, the IT industry has seen some very interesting activity from global hyperscale cloud providers surrounding their cloud sovereignty ambitions, and their scrutiny by the regulators covering some basics compliance requirements, like the European Union’s (EU) General Data Protection Regulation (GDPR) Firstly, AWS made a public pledge called the “AWS Digital Sovereignty Pledge”, consisting of a commitment to provide “the most advanced set of sovereignty controls and features

Risk 138
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New DataHour Sessions are Back – Save the Date Now!

Analytics Vidhya

Introduction The world is transforming by AI, ML, Blockchain, and Data Science drastically, and hence its community is growing rapidly. So, to provide our community with the knowledge they need to master these domains, Analytics Vidhya has launched its DataHour sessions. These sessions provide not only theoretical knowledge but also cover practical demonstrations of the […].

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Cloud Technology is the Future of Medical Billing Software

Smart Data Collective

Cloud technology has upended the medical industry in recent years. Healthcare organizations around the world spend over $56.3 billion on cloud technology. Cloud computing offers a number of important benefits for healthcare providers. One of the biggest advantages of cloud technology is that it helps make medical billing more efficient. A cloud-based medical billing software program automates billing in order to help practices get paid faster, improve workflow efficiencies, help practice the IT

Software 112
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7 Super Cheat Sheets You Need To Ace Machine Learning Interview

KDnuggets

Revise the concepts of machine learning algorithms, frameworks, and methodologies to ace the technical interview round.

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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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Understanding the new era of digital workplace platforms?

CIO Business Intelligence

The all-encompassing digital workplace platform Work as we know it has changed in the past few years coming out of the COVID-19 pandemic. Communications and collaboration technology were critical to that shift. As a result, we have witnessed the evolution of communications and collaboration suites to UCaaS platforms that are now evolving into fuller all-encompassing digital workplace platforms with deeper integration with CCaaS and strategic lines of business applications.

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Top 10 DataHours of 2022

Analytics Vidhya

Top 10 DataHours – An Overview Analytics Vidhya is one of India’s largest communities for Data Science, Machine Learning, and Analytics. We have always kept our community at the centre stage of the ecosystem. From blogs and practice problems to courses and hackathons, our community has been actively engaged with us throughout the years to […].

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Remote IT and Cybersecurity Careers for Data Scientists

Smart Data Collective

Big data technology has become critical for modern life. A growing number of data scientists are being employed in various industries to help solve many challenges. The IT and cybersecurity sectors are heavily dependent on people with an expertise in data science. The Bureau of Labor Statistics estimates that there are nearly 106,000 employed data scientists in the United States.

IT 107
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Top KDnuggets Post of 2022: Is Data Science a Dying Career?

KDnuggets

Also: The Complete Collection of Data Science Cheat Sheets • 15 Python Coding Interview Questions You Must Know For Data Science • Free Python for Data Science Course • The High Paying Side Hustles for Data Scientists • Vanishing Gradient Problem, Explained.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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4 nonprofits fostering diversity and career advancement in IT

CIO Business Intelligence

Despite a recent push to address diversity issues in IT, the industry as a whole has a long way to go. From hiring practices to advancement opportunities, most IT organizations are falling short, despite their best intentions, when it comes to fostering diverse workplaces where individuals of all backgrounds can thrive. As a response to this ongoing lack of diversity in IT, several organizations dedicated to fostering diversity and advancing IT careers have been founded.

IT 126
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Ultimate Guide To Boosting Algorithms

Analytics Vidhya

Introduction Hi everyone! This is the 4th article of the series of data science interview questions. In case you want to revisit the previous ones, tap here. This article will cover all you need to know about boosting algorithms. We have various Machine Learning algorithms to build predictive models. We choose the boosting algorithms based […].

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5 Big Data Storage Solutions

Smart Data Collective

Data is valuable to businesses of all sizes. Companies can use big data to assess performance, pinpoint problems, and identify opportunities. Businesses can also leverage big data to support machine learning by training AI and sophisticated models. Although big data can be advantageous, the sheer volume of computer power and software services needed to support big data initiatives can impose a serious burden.

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The Importance of Permutation in Neural Network Predictions

KDnuggets

Permutation plays a significant role in making neural networks work as expected and showing whether they provide valid results. Explore how it affects neural network predictions now.

IT 108
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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.

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TIAA’s Sastry Durvasula on advancing AI horizons

CIO Business Intelligence

The Teachers Insurance and Annuity Association of America (TIAA) has grown over the course of a century into a $40 billion organization with $1.2 trillion in assets under management serving the financial needs of people at more than 15,000 institutions across academia, government, medicine, cultural, and other nonprofit organizations. But all that didn’t phase Sastry Durvasula when he joined in February 2022 to fill an unusually broad CIO-plus role, leading the global technology and client servi

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How to Get Started with Ethereum Network?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Blockchain Network The need for secure and reliable digital transactions becomes more critical as the world becomes increasingly digital. Blockchain technology provides a way to record and transfer digital assets securely and reliably. Simply put, a blockchain is a digital ledger of […].

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90% Of Saas Buyers Overpay for AI-Driven Services

Smart Data Collective

AI is becoming a powerful disruptive technology in recent years. One poll showed that 86% of CEOs feel that AI is a mainstream technology that their companies heavily depend on. According to a recent report by SaaS purchasing platform Vertice, 90% of buyers are overpaying for their SaaS, by an average of 20-30%. Many of these buyers are enamored with the idea of using AI to improve their business models, but don’t make sure that they are getting the right value from it.

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Learn Data Science From These GitHub Repositories

KDnuggets

Kickstart your data science career with these curated GitHub repositories.

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.