December, 2022

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XAI: Accuracy vs Interpretability for Credit-Related Models

Analytics Vidhya

Introduction The global financial crisis of 2007 has had a long-lasting effect on the economies of many countries. In the epic financial and economic collapse, many lost their jobs, savings, and much more. When too much risk is restricted to very few players, it is considered as a notable failure of the risk management framework. […]. The post XAI: Accuracy vs Interpretability for Credit-Related Models appeared first on Analytics Vidhya.

Modeling 395
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Recognize and Plan for the AI and Machine Learning Skills Gap

David Menninger's Analyst Perspectives

Recently, I suggested you need to “ mind the gap” between data and analytics. This perspective addresses another gap — the gap in skills between business intelligence (BI) and artificial intelligence/machine learning (AI/ML).

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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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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. These data science teams are seeing tremendous results—millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage. Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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IT leaders face reality check on hybrid productivity

CIO Business Intelligence

CIO Ted Ross believes the honeymoon is over for breakneck productivity when it comes to hybrid work, and he’s not the only one. Tech employees at the City of Los Angeles IT agency who were forced to work remotely in the early pandemic days were very efficient, Ross says. “Fully into the pandemic we had a 34% increase in project delivery,” he adds. But since then, productivity and innovation have waned, in part because of fading relationships between once in-person teams, along with a slew of new

IT 145
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5 Current Trends in Big Data for 2022 and Beyond

Smart Data Collective

The world of big data is constantly changing and evolving, and 2021 is no different. As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. Each of these trends will continue to shape the way companies use data in the coming years.

Big Data 139

More Trending

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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 242
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Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science

KDnuggets

Data science is ever-evolving, so mastering its foundational technical and soft skills will help you be successful in a career as a Data Scientist, as well as pursue advance concepts, such as deep learning and artificial intelligence.

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The importance of governance: What we’re learning from AI advances in 2022

IBM Big Data Hub

Over the last week, millions of people around the world have interacted with OpenAI’s ChatGPT, which represents a significant advance for generative artificial intelligence (AI) and the foundation models that underpin many of these use cases. It’s a fitting way to end what has been another big year for the industry. We’re at an exciting inflection point for AI.

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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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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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How to Plan a Cybersecurity Strategy for Your Small Business

Smart Data Collective

Do you think a small business owner need not worry about cyberattacks? 46% of all cyberattacks impact businesses with less than 1000 employees. Small businesses have fewer resources to invest in the security paradigm. That’s why; hackers find it easy to attack such vulnerable systems instead of large corporations who have spent millions of dollars on cybersecurity.

Strategy 129
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Know about Zero Shot, One Shot and Few Shot Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Humans can identify new objects with fewer examples. However, machines would require thousands of samples to identify the objects. Learning from a limited sample would be challenging in machine learning. Having challenges, in recent advances, Machine learning has come up with new […].

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Sisense is Sensible for Embedded Analytics and BI

David Menninger's Analyst Perspectives

Embedded business intelligence (BI) continues to transform the business landscape, enabling organizations to quickly interpret data and convert it into actionable insights. It allows organizations to extract information in real time and answer wide-ranging business questions. Embedding analytics helps tackle the issue of extracting information from data which is a time-consuming process.

Analytics 214
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More Data Science Cheatsheets

KDnuggets

It's time again to look at some data science cheatsheets. Here you can find a short selection of such resources which can cater to different existing levels of knowledge and breadth of topics of interest.

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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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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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IT’s ‘war for talent’ is a losing battle

CIO Business Intelligence

It has been almost 25 years since McKinsey & Co. introduced the term “talent war” to the world. For almost a quarter of a century CIOs have been locked in a Sisyphean battle to attract and retain the IT talent necessary to create competitive advantage. Every year, “talent” is one of the top challenges facing IT organizations. Every year, lack of critical IT skills is blamed for failure to deliver the full promise of IT investments.

Strategy 145
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Big Data Analytics in eLearning: Aspects Everyone Should Know

Smart Data Collective

With technological advancement, data revolutionizes many business processes. Experts assert that one of the leverages big businesses enjoy is using data to re-enforce the monopoly they have in the market. Big data is large chunks of information that cannot be dealt with by traditional data processing software. It needs to be analyzed with premium tech tools to deduce insights germane to user experience as well as scaling businesses.

Big Data 118
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Interview Questions on KNN in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction K nearest neighbors are one of the most popular and best-performing algorithms in supervised machine learning. Furthermore, the KNN algorithm is the most widely used algorithm among all the other algorithms developed due to its speed and accurate results. Therefore, the data […].

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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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Make Intelligent Decisions with Decision Intelligence

David Menninger's Analyst Perspectives

For far too long, business intelligence technologies have left the rest of the exercise to the reader. Many of these tools do an excellent job providing information in an interactive way that lets organizations dive into the data and learn a lot about what has happened across all aspects of the business. More recently, many of these tools have added augmented intelligence capabilities that help explain why things happened.

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How To Overcome The Fear of Math and Learn Math For Data Science

KDnuggets

Many aspiring Data Scientists, especially when self-learning, fail to learn the necessary math foundations. These recommendations for learning approaches along with references to valuable resources can help you overcome a personal sense of not being "the math type" or belief that you "always failed in math.".

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Safety First: Using vehicle data to make us all better drivers

Teradata

Vehicle data is invaluable in improving the safety & safe operation of vehicles for their occupants & other drivers. The next gen of vehicles will use real-time analysis to make driving even safer.

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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?

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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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Discover the Power of Analytical Insights in Your Business Data

Smart Data Collective

Data analytics is not a new term, as it’s the same as interpreting information. It has been going on in various fields for many years and is now being incorporated into the business. The primary purpose is to predict or have future insights. Today, business data and analytical insights are the most sought-after to increase revenue and improve corporate decisions.

Analytics 113
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A Guide to Vyper and its Environments

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction From the current trends in technology, a lot is likely to become more sophisticated. One area we will look at is the new technology known as Vyper, which is a programming language for developing apps on the web 3. This type of […]. The post A Guide to Vyper and its Environments appeared first on Analytics Vidhya.

IT 370
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Introducing Cloudera DataFlow Designer: Self-service, No-Code Dataflow Design

Cloudera

Cloudera has been providing enterprise support for Apache NiFi since 2015, helping hundreds of organizations take control of their data movement pipelines on premises and in the public cloud. Working with these organizations has taught us a lot about the needs of developers and administrators when it comes to developing new dataflows and supporting them in mission-critical production environments. .

Testing 104
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We Don’t Need Data Scientists, We Need Data Engineers

KDnuggets

As more people are entering the field of Data Science and more companies are hiring for data-centric roles, what type of jobs are currently in highest demand? There is so much data in the world, and it just keeps flooding in, it now looks like companies are targeting those who can engineer that data more than those who can only model the data.

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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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Hot Takes From Dataiku Experts: What’s Worth the Hype When It Comes to Data Science and ML?

Dataiku

Time and time again, we hear how organizations are increasingly investing in AI, but struggling to generate (and maintain) actual business impact from their analytics and AI projects. With their heads down on a scaling AI journey, how can they sift through what’s actually worth the resources versus what’s purely hype?

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Maryfran Johnson, Host of the CIO Leadership Live video podcast, CEO Maryfran Johnson Media

CIO Business Intelligence

It’s a wrap. Lee interviews Maryfran Johnson about 2022 trending themes in technology as discussed with CIOs on CIO Leadership Live. Watch this episode: Listen to this episode: CIO Leadership Live.

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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 113
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Explaining MLOps using MLflow Tool

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be seeing MLOps from the dimension of one of the powerful tools that make it easy to implement. These tool help to improve the deployment process for robust machine-learning projects. We will start by briefly seeing MLOps […]. The post Explaining MLOps using MLflow Tool 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.