Sat.Apr 13, 2024 - Fri.Apr 19, 2024

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7 Steps to Mastering MLOPs

KDnuggets

Join us on a journey of becoming a professional MLOps engineer by mastering essential tools, frameworks, key concepts, and processes in the field.

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Building the human firewall: Navigating behavioral change in security awareness and culture

IBM Big Data Hub

The latest findings of the IBM X-Force® Threat Intelligence Index report highlight a shift in the tactics of attackers. Rather than using traditional hacking methods, there has been a significant 71% surge in attacks where criminals are exploiting valid credentials to infiltrate systems. Info stealers have seen a staggering 266% increase in their utilization, emphasizing their role in acquiring these credentials.

Metrics 86
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Trending Sources

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Empowering data mesh: The tools to deliver BI excellence

erwin

The data mesh framework In the dynamic landscape of data management, the search for agility, scalability, and efficiency has led organizations to explore new, innovative approaches. One such innovation gaining traction is the data mesh framework. The data mesh approach distributes data ownership and decentralizes data architecture, paving the way for enhanced agility and scalability.

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Data Crime: Arizona Is Not Arkansas

TDAN

I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications, it can help us learn from mistakes and prevent future data crimes. The stories can also be helpful if you have to explain the importance of data management to someone.

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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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A CIO’s Journey through Data-Driven Transformation

Data Virtualization

Reading Time: 2 minutes Imagine a chief information officer (CIO) at the forefront of an ambitious mission. The CIO’s company, in pursuit of growth and profitability, faces an all-too-common obstacle: harnessing the vast ocean of data. This CIO understands that the key to unlocking. The post A CIO’s Journey through Data-Driven Transformation appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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AI supports Decarbonizing the Future at Green Hydrogen Summit

Jen Stirrup

The Green Hydrogen Summit, hosted in Abu Dhabi by Masdar, kicked off this year with a significant focus on Artificial Intelligence and data to advance the green hydrogen economy for a sustainable energy transition. There is a significant focus on Artificial Intelligence and data and its potential. It is important to highlight that AI has real possibilities and presents opportunities for supporting the transition to Net Zero and, most importantly, looking after the planet.

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Data-Driven Workers’ Compensation Claims Management

Smart Data Collective

More insurers are using data analytics to streamline the process for worker's compensation claimants.

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The Role of Data Structures and Algorithms in Software Development

Smart Data Collective

Explore how data structures and algorithms power software development. Learn key concepts and best practices for efficient coding.

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15+ Smallest LLMs that You can Run on Local Devices

Analytics Vidhya

Introduction Imagine harnessing the power of advanced language models right on your personal computer or mobile device without relying on cloud services or powerful servers. Sounds incredible, doesn’t it? Well, these tiny language models make this dream a reality. In NLP, we’ve observed the advent of enormous language models that assimilate and create text just […] The post 15+ Smallest LLMs that You can Run on Local Devices appeared first on Analytics Vidhya.

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4 tips for championing contact center innovation from an award-winning customer experience leader

CIO Business Intelligence

Innovation is essential, especially in the contact center as the tip of the spear in customer experience, but how do you activate your modernization plan? I had the opportunity to speak with Mary Daniel, VP of Customer Solutions Center for Aflac, a long-time Avaya customer, at the Gartner Symposium last fall. Mary is a veteran when it comes to customer experience and was most recently named by Constellation Research to the AX100 list , an elite group of executives who are breaking barriers and

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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.

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5 Free Courses to Master Math for Data Science

KDnuggets

Want to learn math for data science? Check out these three courses to learn linear algebra, calculus, statistics, and more.

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Power analytics as a service capabilities using Amazon Redshift

AWS Big Data

Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make informed strategic choices.

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Limitless Pendant: the $99 Wearable AI Assistant

Analytics Vidhya

The surge in AI-powered gadgets and wearables has ushered in a new era of innovation, with each device vying for a unique spot in the tech ecosystem. Amidst the buzz surrounding recent launches like the Humane AI Pin and the Rabbit R1, steps in a fresh contender: the Limitless Pendant. Unlike its predecessors, the Limitless […] The post Limitless Pendant: the $99 Wearable AI Assistant appeared first on Analytics Vidhya.

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CIOs not entirely sold on generative AI copilots

CIO Business Intelligence

A new breed of AI assistant has set its sights on the enterprise user in recent months, with Microsoft and other vendors promising huge productivity gains that offset the cost. But Microsoft still has work to do on its value proposition. Its Copilot for Microsoft 365, a high-profile offering among the growing list of AI agents, costs $30 per seat per month, with a 300-seat minimum.

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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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Utilizing Pandas AI for Data Analysis

KDnuggets

Bring the latest AI implementation to Pandas to improve your data workflow.

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Introducing Amazon MWAA larger environment sizes

AWS Big Data

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed service for Apache Airflow that streamlines the setup and operation of the infrastructure to orchestrate data pipelines in the cloud. Customers use Amazon MWAA to manage the scalability, availability, and security of their Apache Airflow environments. As they design more intensive, complex, and ever-growing data processing pipelines, customers have asked us for additional underlying resources to provide greater concurrency an

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How Snowflake’s Text Embedding Models Are Disrupting the Industry

Analytics Vidhya

Introduction Text embedding plays a crucial role in modern AI workloads, particularly in the context of enterprise search and retrieval systems. The ability to accurately and efficiently find the most relevant content is fundamental to the success of AI systems. However, existing solutions for text embedding have certain limitations that hinder their effectiveness.

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Oracle to invest $8 billion in Japan through 2034

CIO Business Intelligence

Oracle is planning to invest $8 billion in Japan over the next 10 years in order to expand its cloud infrastructure footprint, which in turn will help the company meet the growing demand for AI-based workloads, the company announced on Wednesday. As part of the investment, the company said it will increase local customer support of its public cloud regions in Tokyo and Osaka.

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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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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. This is the potential of artificial general intelligence (AGI), a hypothetical technology that may be poised to revolutionize nearly every aspect of human life and work.

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A Look Back at the Gartner Data and Analytics Summit

Cloudera

Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. With the arrival of the latest AI-powered technologies like large language models (LLMs) and generative AI (GenAI), there’s a vast amount of opportunities for innovation, growth, and improved business outcomes right around the corner.

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PyTorch Introduces torchtune: Simplifying LLM Fine-Tuning

Analytics Vidhya

PyTorch has unveiled torchtune, a new PyTorch-native library aimed at streamlining the process of fine-tuning large language models (LLMs). It offers a range of features and tools to empower developers in customizing and optimizing LLMs for various use cases. Let’s explore the features and applications of this easy-to-use and flexible new library. Also Read: Pytorch […] The post PyTorch Introduces torchtune: Simplifying LLM Fine-Tuning appeared first on Analytics Vidhya.

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Skills-first hiring has CIOs rethinking talent strategies

CIO Business Intelligence

Jason Snyder faces the same challenge nearly all CIOs encounter when looking to fill open positions: a tight labor market, where fierce competition for workers has meant months-long vacancies. Snyder, secretary of the Executive Office of Technology Services and Security and Commonwealth CIO for Massachusetts, responded by overhauling the agency’s recruitment and retention practices.

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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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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

The manufacturing industry is in an unenviable position. Facing a constant onslaught of cost pressures, supply chain volatility and disruptive technologies like 3D printing and IoT. The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. At the same time, there is this huge sustainability and energy transition wave.

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Build a Command-Line App with Python in 7 Easy Steps

KDnuggets

Let's learn Python by building a command-line TO-DO list app, one step at a time.

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Top 19 MLOps Tools to Learn in 2024

Analytics Vidhya

Introduction Step into the magical world of machine learning (ML), where industries are transformed and possibilities are endless. But to know its full potential, we need a robust infrastructure like MLOps. This article dives deep into the MLOps, bridging the gap between data science and production. Discover the top MLOps tools empowering data teams today, […] The post Top 19 MLOps Tools to Learn in 2024 appeared first on Analytics Vidhya.

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How to be the CIO every company wants

CIO Business Intelligence

Companies expect a lot from their CIOs: integral knowledge of the business, visible financial results, and agility, as well as the ability to manage change, actively collaborate with business leaders, and explain IT in plain English. It’s a tall order that requires a broad spectrum of skills. It once prompted a CFO contemporary of mine to say, “I’m glad you’re the CIO.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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IBM and TechD partner to securely share data and power insights with gen AI

IBM Big Data Hub

As technology expands, at TechD , we know that the quality of generative AI (gen AI) depends on accurate data sourcing. A reliable and trustworthy data source is essential for sharing information across departments. Through the implementation of generative AI we are able to expand our knowledge to many individuals easily, quickly and efficiently becoming a resource.

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New AI Startups Surpass ChatGPT for Legal Solutions

Smart Data Collective

Unleash the power of new AI startups transforming legal solutions, surpassing ChatGPT's performance. Elevate your legal processes today!

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From Learning to Leading: The Vijay Gabale Story

Analytics Vidhya

In this episode of Leading with Data, we have the privilege of exploring the vibrant world of data-driven innovation with Vijay Gabale, co-founder at Infilect. Amidst the intricate interplay of economics and resource optimization, Gabale emerges as a visionary leader, leveraging the power of AI and software solutions to reshape industries. With a keen focus […] The post From Learning to Leading: The Vijay Gabale Story appeared first on Analytics Vidhya.

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Certinia bakes AI into its latest professional services updates

CIO Business Intelligence

Certinia has joined the growing ranks of enterprise software vendors turning to generative AI to enhance their offerings. The provider of ERP and professional services automation software based on the Salesforce platform today announced it has added AI-powered features aimed at simplifying common processes for midrange service firms to its latest update.

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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.