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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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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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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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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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 278
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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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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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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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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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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 147
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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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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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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 140
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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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How Vulnerable Are Supply Chains to Hacking?

Smart Data Collective

It’s easy to sound paranoid when talking about cyber security. Threats actually are everywhere. In your local coffee shop. Lurking on the first page of your favorite search engine. In your email inbox. One small mistake can bring business empires to their knees. It happened to Marriot. It happened to Yahoo. It happened to the Irish healthcare system.

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

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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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A Combined Broadcom & VMware: Clouds and Sovereignty

CIO Business Intelligence

By Hock Tan, Broadcom President & CEO The trend towards sovereign clouds has been one of the central topics that customers, particularly in Europe, have raised since we announced the Broadcom-VMware transaction. They want to know what role a combined Broadcom-VMware would play as governments increasingly recognize the power of data – economically, politically, and geo-politically – to drive local, national, and even multi-national economic development.

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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 120
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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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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.

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Why Your Healthcare Organization Should Consider HPE GreenLake for EHR

CIO Business Intelligence

The Electronic Health Record (EHR) is only becoming more critical in delivering patient care services and improving outcomes. As a leading provider of the EHR, Epic Systems (Epic) supports a growing number of hospital systems and integrated health networks striving for innovative delivery of mission-critical systems. However, legacy methods of running Epic on-premises present a significant operational burden for healthcare providers.

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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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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.

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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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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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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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Web 3.0: The role of APIs and Microservices

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Source – pexels.com Web 3.0, the next generation of the internet, is a decentralized and interoperable platform that utilizes blockchain technology. APIs (Application Programming Interfaces) and microservices are crucial components of this platform, enabling communication and integration between different software systems and decentralized […].

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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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Learn Data Science From These GitHub Repositories

KDnuggets

Kickstart your data science career with these curated GitHub repositories.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.