Sat.Dec 10, 2022 - Fri.Dec 16, 2022

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Meta-Reinforcement Learning in Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Generally, machine learning can be classified into four types: supervised machine learning, unsupervised machine learning, semi-supervised machine learning, and reinforcement learning. Supervised machine learning is a type of machine learning that is the easiest and less complex type or branch of data science. […].

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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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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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8 Ways AI Contributes to Ecommerce Business Scalability

Smart Data Collective

Artificial intelligence has offered a plethora of benefits for businesses in every sector. The ecommerce industry is among those most benefiting from advances in AI. Therefore, it is no surprise that the market for AI-enabled ecommerce services is projected to be worth nearly $17 billion by 2030. Ecommerce giants like Amazon are finding creative ways to leverage AI.

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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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Machine Learning with Limited Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In machine learning, the data’s amount and quality are necessary to model training and performance. The amount of data affects machine learning and deep learning algorithms a lot. Most of the algorithm’s behaviors change if the amount of data is increased or […].

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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

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5 Best Practices for Extracting, Analyzing, and Visualizing Data

Smart Data Collective

Technology is quickly becoming a critical component of our existence. Today, technology powers every important aspect of our life, from business to education to medicine. It has greatly aided in the automation of formerly manual activities, making everything more smooth and efficient. However, computerization in the digital age creates massive volumes of data, which has resulted in the formation of several industries, all of which rely on data and its ever-increasing relevance.

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Streamlining Machine Learning Workflows with MLOps

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine learning (ML) has become an increasingly important tool for organizations of all sizes, providing the ability to learn and improve from data automatically. However, successfully deploying and managing ML in production can be challenging, requiring careful coordination between data scientists and […].

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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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Free Intermediate Python Programming Crash Course

KDnuggets

Master the basics of python with this free crash course.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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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.

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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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7 ways CIOs can build a high-performance team

CIO Business Intelligence

Having a clear vantage point within the organization, CIOs play a vital role bringing together engaged and motivated employees to work toward a common outcome, increase productivity, and achieve better business outcomes. Many CIOs know that a high-performance team is usually greater than the sum of its parts, comprised of talent with highly complementary skills, a broader set of objectives than other teams, and fine-tuned approaches to collaboration and communication.

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The Complete MLOps Study Roadmap

KDnuggets

Kickstart your career as an MLOps Engineer with this study roadmap.

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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Amazing Ways AI is Changing the Marketing Landscape

Smart Data Collective

Did you know that companies are projected to spend over $107 billion on AI-based marketing solutions by 2028? There is no doubt that artificial intelligence is creating a number of new changes for people in the marketing profession. However, many people are still wondering what the actual effects of AI on marketing will be. If yo are in the marketing profession, you will need to learn more about some of the biggest AI trends that will change your career in the years ahead.

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ChatGPT: Unlocking the Potential of Artificial Intelligence for Human-Like Conversation

Analytics Vidhya

Introduction ‘Hey, Siri, ‘Hey, Google,’ and ‘Alexa’ are some common voice assistants we use on an everyday basis. These fascinating conversational bots use Natural Language Understanding to understand the inputs. NLU is a subset of Natural Language Processing that enables the machine to understand the natural language (text/audio). NLU is a critical component in most […].

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How tech leaders can better navigate organizational politics

CIO Business Intelligence

When you think about people entangled in organizational politics, terms that come to mind include manipulation, self-serving, turf battles, power plays, and hidden agendas. Not terribly uplifting. But Neal Sample, former CIO of Northwestern Mutual, sees it a different way. “I think of a different set of words like influence, diplomacy and collaboration,” he says.

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5 Python Projects for Data Science Portfolio

KDnuggets

Get more experience by working on web scraping, data analytics, time-series forecasting, machine learning, and deep learning projects.

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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The Role of Cloud Computing in Patient Engagement in Healthcare

Smart Data Collective

Cloud technology is changing the state of the healthcare sector. A number of hospitals are using the cloud for a variety of purposes, including improving data scalability, offering employees the opportunity to work remotely and improving patient engagement. Due to these many benefits, healthcare organizations are expected to spend over $128 billion on cloud services this year.

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Introduction to HyperLedger Fabric in Blockchain Network

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction HyperLedger Fabric is a permissioned blockchain infrastructure initially developed by IBM and Digital Asset. It is used for providing a modular architecture with a delineation of roles between the nodes in the infrastructure. It is also used in the execution of various Smart […].

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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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Markdown Cheatsheet

KDnuggets

Markdown is a lightweight markup language for creating formatted text using a plain-text editor. Grab this handy reference sheet to make certain you know how to implement what you need to, when you want to!

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The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!

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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.

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Understand the ACID and BASE in Morden Data Engineering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Dear Data Engineers, this article is a very interesting topic. Let me give some flashback; a few years ago, Mr.Someone in the discussion coined the new word how ACID and BASE properties of DATA. Suddenly drop silence in the room. Everyone started […]. The post Understand the ACID and BASE in Morden Data Engineering appeared first on Analytics Vidhya.

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Microsoft signs $2.8B cloud deal with London Stock Exchange Group

CIO Business Intelligence

Microsoft has signed a 10-year deal with the London Stock Exchange Group (LSEG) that calls for the software giant to buy a 4% stake in the exchange in order to jointly develop new products and services for data and analytics. Microsoft will buy the stake from a Blackstone and Thomson Reuters consortium, which previously sold the financial data company Refinitiv to LSEG for £22bn (US$26.9 billion) in 2021.

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Zero-shot Learning, Explained

KDnuggets

How you can train a model to learn and predict unseen data?

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Surprising Benefits of Smart Technology for Home Security

Smart Data Collective

Did you know that the market for smart homes is currently worth over $79 billion ? There is a reason that more families are investing in this technology. Smart home technology has revolutionized the way we improve the safety of our homes and families. Digital locks and cameras allow us to safeguard our doors, windows, and other entry points 24/7 and monitors anyone who enters our home.

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CRUD Operations in MongoDB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction MongoDB is a type of NoSQL Database, that stores data in document format(bson or binary json format). Its advantage over traditional SQL Databases includes the flexibility of schema-design, relaxation of its ACID properties and its distributed data storage capability thus performing better for […].

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SAP Innovation Awards: Celebrating 10 Years of Innovation

CIO Business Intelligence

It’s human nature — as well as the nature of this magnificent planet — that change is constant. But sometimes, change can be perceived as bad. We see and feel this in the form of climate change, supply chain issues, and sustainability challenges, just to name a few. But are these problems insurmountable? No. Rather, we see these as opportunities to innovate and make positive changes.

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Tuning Adam Optimizer Parameters in PyTorch

KDnuggets

Choosing the right optimizer to minimize the loss between the predictions and the ground truth is one of the crucial elements of designing neural networks.

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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?