May, 2024

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OpenAI is Helping Indian Farmers Increase Crop Yields

Analytics Vidhya

Digital Green, an organization that creates solutions for better farming, has teamed up with OpenAI to launch Farmer.Chat. This new generative AI-driven assistant aims to help farmers boost their agricultural productivity. The AI chatbot, launched in India, brings great hope to the farming community in the country. Let’s explore the transformative potential of Farmer.Chat and […] The post OpenAI is Helping Indian Farmers Increase Crop Yields appeared first on Analytics Vidhya.

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DataKitchen Training And Certification Offerings

DataKitchen

DataKitchen Training And Certification Offerings For Individual contributors with a background in Data Analytics/Science/Engineering Overall Ideas and Principles of DataOps DataOps Cookbook (200 page book over 30,000 readers, free): DataOps Certificatio n (3 hours, online, free, signup online): DataOps Manifesto (over 30,000 signatures) One Day DataOps training (paid) Data Observability (the first step in DataOps) I deas and Principles of Data Observability Four-part Da

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Google Expands AI Capabilities at Cloud Next ’24

David Menninger's Analyst Perspectives

The artificial intelligence (AI) market is exploding with activity, which is part of the reason we recently announced that we have dedicated an entire practice at Ventana Research to the topic. Large language models (LLMs) and generative AI (GenAI) have taken the AI world by storm. In fact, we assert that through 2026, one-half of all AI investments will be based on generative rather than predictive AI.

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UPS delivers customer wins with generative AI

CIO Business Intelligence

United Parcel Service last year turned to generative AI to help streamline its customer service operations. The in-house developed project, Message Response Automation (MeRA), is already delivering. MeRA, which was initiated last July and went into beta testing in October, leverages publicly available large language models (LLMs) to automate the handling of some customer issues, providing consistent messaging and significant improvement of agent efficiency, aka handle time, according to the mult

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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5 Simple Steps to Automate Data Cleaning with Python

KDnuggets

Automate your data cleaning process with a practical 5-step pipeline in Python, ideal for beginners.

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IBM Mainframe Skills Council brings the global community together to grow mainframe talent

IBM Big Data Hub

The global economy runs on transactions, and 70% of transactions by value run through an IBM Z® mainframe. Many of the world’s largest enterprises rely on IBM Z to support their core business, and by a process of continued innovation, IBM Z brings industry-first technologies to our clients with each new generation. Modern mainframe skills are critical as businesses implement AI, modernize their applications, integrate across the enterprise and continue digital transformation.

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Revolutionizing data querying: Amazon Redshift and Visual Studio Code integration

AWS Big Data

In today’s data-driven landscape, the efficiency and accessibility of querying tools play a crucial role in driving businesses forward. Amazon Redshift recently announced integration with Visual Studio Code (), an action that transforms the way data practitioners engage with Amazon Redshift and reshapes your interactions and practices in data management.

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Chart Snapshot: Radar Box Plots

The Data Visualisation Catalogue

The Radar Box Plot is a visualisation developed by Caio Hamamura, which combines the Radar Chart with the Box Plot. This combination enables the comparison of multivariate data across multiple classes or clusters simultaneously. This visualisation uses radar polygons that can be compared based on their shape and thickness, providing insights into data variability and similarities among classes or clusters.

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Innovating Services for a Digital, Intelligent Future

CIO Business Intelligence

Digital transformation remains top of mind worldwide. According to Foundry’s State of the CIO 2024 study, technology leaders will be focused on driving digital innovation, redesigning processes, and modernising infrastructure and apps in the next three years in order to stay ahead. At the same time, Artificial Intelligence (AI) is quickly becoming recognised as a keystone for future growth.

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Avoid These 5 Common Mistakes Every Novice in AI Makes

KDnuggets

Top five mistakes made by AI beginners and practical tips to avoid them, along with an engaging "50-Day Challenge" that you cannot afford to miss.

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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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How generative AI will revolutionize supply chain 

IBM Big Data Hub

Unlocking the full potential of supply chain management has long been a goal for businesses that seek efficiency, resilience and sustainability. In the age of digital transformation, the integration of advanced technologies like generative artificial intelligence brings a new era of innovation and optimization. AI tools help users address queries and resolve alerts by using supply chain data, and natural language processing helps analysts access inventory, order and shipment data for decision-ma

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Apple Unveils Next-Gen M4 Chip: Revolutionizing AI Capabilities for iPad Pro

Analytics Vidhya

Apple has launched its latest innovation – the M4 chip, at its ‘Let Loose’ iPad event. This new development from Apple has sparked a wave of excitement and speculation within the tech community. The M4 chip promises unparalleled performance and efficiency, especially for the new iPad Pro, aiming to redefine mobile computing. Let’s explore the […] The post Apple Unveils Next-Gen M4 Chip: Revolutionizing AI Capabilities for iPad Pro appeared first on Analytics Vidhya.

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Gen AI Helps Developers Automate Writing Coding

Smart Data Collective

Automate coding tasks with Gen AI - the ultimate tool for developers to streamline writing and enhance productivity.

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Chart Snapshot: Variable Width Box Plots

The Data Visualisation Catalogue

A Variable Width Box Plot is a variation of the standard Box Plot where the width of the box is proportional to the size of the group or data subset being represented. This allows for visualising the relative sizes of different groups in addition to their distributions. This helps to provide more context by showing which groups have more data points contributing to their distributions.

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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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Red Hat seeks to shrink IT skills gap with Lightspeed gen AI

CIO Business Intelligence

For IT leaders experiencing skills gaps in the data center and cloud, Red Hat believes it may have an answer. At Red Hat Summit 2024 in Denver today, the company announced plans to extend its Red Hat Lightspeed generative AI capabilities across all its platforms, including Red Hat OpenShift and Red Hat Enterprise Linux (RHEL). By infusing gen AI functionality across its portfolio, Red Hat aims to reduce the complexity of enterprise IT and help platform engineers and developers be more accurate a

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A Comprehensive Guide to Essential Tools for Data Analysts

KDnuggets

Data analyst tools encompass programming languages, spreadsheets, BI, and big data tools. Here are 9ish tools that cover all the tasks of data analysts well.

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Empowering security excellence: The dynamic partnership between FreeDivision and IBM

IBM Big Data Hub

In the ever-evolving landscape of cybersecurity, businesses are constantly seeking robust solutions to fortify their defenses and navigate the complex challenges posed by cyberthreats. FreeDivision, an IBM Business Partner, stands out in the field by understanding the local needs of its clients. Operating as a security service partner, FreeDivision leverages IBM’s endpoint detection and response (EDR) solution, IBM Security® QRadar® EDR, as part of its solution, freedivision.io,

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Is Coding Dead? Google’s CodeGemma 1.1 7B Explained

Analytics Vidhya

Introduction CodeGemma 7B is a specialized open code model built on top of Gemma, a family of language models developed by Google DeepMind. It is designed for a variety of code and natural language generation tasks. The 7B model is part of the Gemma family and is further trained on more than 500 billion tokens […] The post Is Coding Dead? Google’s CodeGemma 1.1 7B Explained appeared first on Analytics Vidhya.

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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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AI-Powered Analytics: Unveiling Hidden Insights in Point-of-Sale Data

Smart Data Collective

AI technology can help sales people make the most of POS systems, which helps them reach their goals more easily.

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Chart Snapshot: Box-Percentile Plots

The Data Visualisation Catalogue

The Box-Percentile Plot was developed by Warren W. Esty and Jeffrey D. Banfield in their 2003 paper The Box-Percentile Plot. It is considered an improvement over the traditional Box Plot as it provides a more informative display of the data distribution shape, especially for skewed or multimodal data, while still being a compact visualisation. Box-Percentile Plots display the same summary statistics as regular Box Plots (median, quartiles, minimum, and maximum), but instead use line markers on a

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Coaching your IT team for change: 9 tips

CIO Business Intelligence

When a necessary change hits your IT team, getting everyone to buy in and adapt is key — and challenging. Some team members will, by nature, fight any change. Even those once adaptable may have become change resistant due to years of near-constant turbulence. One Gartner study found that willingness to support organizational change dropped from 74% of employees in 2016 to just 43% in 2022.

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Ollama Tutorial: Running LLMs Locally Made Super Simple

KDnuggets

Want to run large language models on your machine? Learn how to do so using Ollama in this quick tutorial.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

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.

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Helping enterprises across regulated industries leverage hybrid cloud and AI

IBM Big Data Hub

At IBM Cloud, we are committed to helping enterprises across industries leverage hybrid cloud and AI technologies to help them drive innovation. For true transformation to begin, we believe it is key to understand the unique challenges organizations are facing—whether it is keeping data secured, addressing data sovereignty requirements or speeding time to market to satisfy consumers.

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AI on the Go: Anthropic Launches Claude Mobile App

Analytics Vidhya

San Francisco-based AI company Anthropic is making waves with the launch of its first smartphone app, bringing Claude to mobiles. This move positions Anthropic as a serious contender in the AI game, going head-to-head with industry giants like OpenAI and Google. The new iPhone app caters to both free and paid Claude users. It seamlessly […] The post AI on the Go: Anthropic Launches Claude Mobile App appeared first on Analytics Vidhya.

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Digital + Data/AI Transformation: Parallels and Pitfalls

Dataiku

Digital transformation exists to change (fundamentally, rather than at a surface level) how a business operates. Though enabled by technology, delivering technology projects is not the point; the business is being changed to better respond to customer and employee needs. This separates it from “digitization,” which is merely running the same old processes with (hopefully) more efficient technology.

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Achieving digital service excellence in three steps

CONTACT Software

The benefits of a strong service offering Service is an anchor of stability in the machinery and plant engineering sector during times of global crises. After-sales revenues are less susceptible to external developments and economic fluctuations compared to new plant business. Additionally, their higher profit margins stabilize companies’ cash flows and mitigate risks.

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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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Google spurs US to ease immigration rules for tech talent

CIO Business Intelligence

In a plea for hiring relief, Google has sent the US Department of Labor an urgent appeal to amend US immigration laws to ease the hiring of foreign IT workers. On May 1, the tech titan submitted a lengthy response to the department’s request for information on modernizing Schedule A, a little-known immigration rule that fast-tracks the hiring of foreign workers in occupations facing pre-certified shortages in the US.

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Free AI Courses from NVIDIA: For All Levels

KDnuggets

Want to build cool AI applications? Start learning AI today with these free courses from NVIDIA.

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Enterprises’ best bet for the future: Securing generative AI  

IBM Big Data Hub

IBM and AWS study: Less than 25% of current generative AI projects are being secured The enterprise world has long operated on the notion that trust is the currency of good business. But as AI transforms and redefines how businesses operate and how customers interact with them, trust in technology must be built. Advances in AI can free human capital to focus on high-value deliverables.

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A Journey of Entrepreneurship & Storytelling with Joshua Starmer

Analytics Vidhya

In an era where data science and machine learning are reshaping our world, Joshua Starmer stands out as a leading educator and innovator. With a unique background in computer science and a passion for biology, he has carved a path that merges these fields seamlessly. Through his journey, he identified a niche in data analytics […] The post A Journey of Entrepreneurship & Storytelling with Joshua Starmer appeared first on Analytics Vidhya.

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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.