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.

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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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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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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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Accelerating Industry 4.0 at warp speed: The role of GenAI at the factory edge

CIO Business Intelligence

It’s Wednesday night. You’re fast asleep aboard the USS Enterprise Star Trek. Suddenly, you wake to an urgent announcement and rush to the bridge of the starship. Captain James T. Kirk is activating warp drive and you see the iconic blurred streaks of light as the spaceship reaches warp speed. Within seconds, you are traveling faster than the speed of light to reach a Klingon war in the Alpha Quadrant–arriving in minutes versus years.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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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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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Meta Llama 3: Redefining Large Language Model Standards

Analytics Vidhya

Introduction The landscape of artificial intelligence has been dramatically reshaped over the past few years by the advent of Large Language Models (LLMs). These powerful tools have evolved from simple text processors to complex systems capable of understanding and generating human-like text, making significant strides in both capabilities and applications.

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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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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Ultimate Collection of 50 Free Courses for Mastering Data Science

KDnuggets

The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.

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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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Meta AI: Your New Intelligent Assistant Powered by Llama 3

Analytics Vidhya

Meta introduces Meta AI, powered by the cutting-edge Llama 3, revolutionizing assistance across its platforms. With seamless integration and enhanced features, Meta AI aims to redefine user experiences. Let’s explore the features and applications of Meta’s AI assistant. Also Read: Meta Releases Much-Awaited Llama 3 Model Enhanced Assistance Everywhere Meta AI, leveraging Meta Llama 3, […] The post Meta AI: Your New Intelligent Assistant Powered by Llama 3 appeared first on Anal

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Decoding Salesforce’s plausible $11 billion bid to acquire Informatica

CIO Business Intelligence

Salesforce’s reported bid to acquire enterprise data management vendor Informatica could mean consolidation for the integration platform-as-a-service (iPaaS) market and a new revenue stream for Salesforce, according to analysts. “With this deal, Salesforce would be the dominant data integration company, making it the starting point for enterprises trying to bring disparate data sources together,” said Hyoun Park, chief analyst at Amalgam Insights.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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The End of Agile – Part 3 (What Is Agile Really?)

TDAN

In the first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with.

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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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ColBERT – Improve Retrieval Performance with Token Level Vector Embeddings

Analytics Vidhya

Introduction Retrieval Augmented-Generation (RAG) has taken the world by Storm ever since its inception. RAG is what is necessary for the Large Language Models (LLMs) to provide or generate accurate and factual answers. We solve the factuality of LLMs by RAG, where we try to give the LLM a context that is contextually similar to […] The post ColBERT – Improve Retrieval Performance with Token Level Vector Embeddings appeared first on Analytics Vidhya.

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Generative AI gold rush drives IT spending — with payoff in question

CIO Business Intelligence

A scramble to invest in artificial intelligence and a natural replacement cycle for computing devices purchased during the COVID pandemic will lead to an 8% increase in global IT spending this year, Gartner predicted. Interest in AI, building since last year, will push a 10% increase in data center system spending this year, driving worldwide IT spending to $5.06 trillion, said John-David Lovelock, distinguished vice president analyst at Gartner.

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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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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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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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Top 6 Datasets For Emotion Detection

Analytics Vidhya

Introduction Emotion detection is the most important component of affective computing. It has gained significant traction in recent years due to its applications in diverse fields such as psychology, human-computer interaction, and marketing. Central to the development of effective emotion detection systems are high-quality datasets annotated with emotional labels.

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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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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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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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The journey to a mature asset management system

IBM Big Data Hub

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. Earlier posts in this series addressed the challenges of the energy transition with holistic grid asset management, the integrated asset management platform and data exchange, and merging traditional top-down and bottom-up planning processes.

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Top 10 AI Tools for Social Media

Analytics Vidhya

Introduction Hi there, lovers of social media! Are you interested in learning the trick to flawlessly content that drawsattention on its own? Then you need to start using AI tools. We’ll explore the top 10 AI tools that are revolutionizing social media management. These tools offer innovative solutions for everything from content creation to analytics, […] The post Top 10 AI Tools for Social Media 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 Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. ♻️ Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. 📊 Join us for a practical webinar hosted by Kevin Kai Wong of Emergent Ene