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How to Create Mind Maps and Flowcharts Using ChatGPT

Analytics Vidhya

Introduction In the field of data science, how you present the data is perhaps more important than data collection and analysis. Data scientists often find it difficult to clearly communicate all of their analytical findings to stakeholders of different levels. This is where data visualization techniques such as flowcharts and mind maps come to help. […] The post How to Create Mind Maps and Flowcharts Using ChatGPT appeared first on Analytics Vidhya.

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To understand the risks posed by AI, follow the money

O'Reilly on Data

By Rufus Rock , UCL ; Tim O’Reilly , UCL ; Ilan Strauss , UCL ; and Mariana Mazzucato , UCL This article is republished from The Conversation under a Creative Commons license. Time and again, leading scientists, technologists, and philosophers have made spectacularly terrible guesses about the direction of innovation. Even Einstein was not immune, claiming, “There is not the slightest indication that nuclear energy will ever be obtainable,” just ten years before Enrico Fermi completed cons

Risk 221
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Finetuning Llama 3 with Odds Ratio Preference Optimization

Analytics Vidhya

Introduction Large Language Models are often trained rather than built, requiring multiple steps to perform well. These steps, including Supervised Fine Tuning (SFT) and Preference Alignment, are crucial for learning new things and aligning with human responses. However, each step takes a significant amount of time and computing resources. One solution is the Odd Ratio […] The post Finetuning Llama 3 with Odds Ratio Preference Optimization appeared first on Analytics Vidhya.

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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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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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A Starter Guide to Data Structures for AI and Machine Learning

KDnuggets

This article is an overview of a particular subset of data structures useful in machine learning and AI development, along with explanations and example implementations.

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Dive deep into security management: The Data on EKS Platform

AWS Big Data

The construction of big data applications based on open source software has become increasingly uncomplicated since the advent of projects like Data on EKS , an open source project from AWS to provide blueprints for building data and machine learning (ML) applications on Amazon Elastic Kubernetes Service (Amazon EKS). In the realm of big data, securing data on cloud applications is crucial.

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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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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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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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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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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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Decoding the Data Landscape: Dr. Kiran R on Data Science & Innovation

Analytics Vidhya

In this episode of Leading with Data, we’re joined by Dr. Kiran R, a distinguished leader in Applied ML and Data Science, who shares insights from his extensive experience at Microsoft, VMware, and beyond. With a Ph.D. from IIM Lucknow and an MBA from IIM Kozhikode, Dr. Kiran has led high-impact teams, earning accolades such […] The post Decoding the Data Landscape: Dr.

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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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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.

IT 115
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Data Science Degrees vs. Courses: The Value Verdict

KDnuggets

Exploring the merits of data science degrees vs courses, this analysis contrasts their depth, prestige, and practicality in job market preparation

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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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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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Check Out This New Robot that Does Household Chores with Precision

Analytics Vidhya

China’s robotics industry has just marked an impressive leap with the unveiling of a new humanoid robot, Astribot S1. The fully autonomous robot, developed by Stardust Intelligence, redefines the benchmarks of speed, precision, and functionality. Let’s explore how this AI-driven marvel would reshape various sectors with its remarkably human-like capabilities.

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VeloxCon 2024: Innovation in data management

IBM Big Data Hub

VeloxCon 2024 , the premier developer conference that is dedicated to the Velox open-source project, brought together industry leaders, engineers, and enthusiasts to explore the latest advancements and collaborative efforts shaping the future of data management. Hosted by IBM® in partnership with Meta, VeloxCon showcased the latest innovation in Velox including project roadmap, Prestissimo (Presto-on-Velox), Gluten (Spark-on-Velox), hardware acceleration, and much more.

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The new CIO mandate: Selling AI to employees

CIO Business Intelligence

As organizations roll out AI applications and AI-enabled smartphones and devices, IT leaders may need to sell the benefits to employees or risk those investments falling short of business expectations. That’s because employees have decidedly mixed feelings about AI coming to their workplaces, according to the recent survey by IT solutions integrator Insight , even as many enterprises are already adopting or experimenting with AI and as AI-enabled phones begin hitting the market.

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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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5 MLOps Courses from Google to Level Up Your ML Workflow

KDnuggets

Want to build and deploy robust machine learning systems to production? Start learning MLOps today with these courses from Google.

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Denodo recognized as a Leader in the 2023 Gartner® Magic Quadrant™ for Data Integration Report 

Data Virtualization

Reading Time: 3 minutes Denodo was recognized as a Leader in the 2023 Gartner® Magic Quadrant™ for Data Integration report, marking the fourth year in a row that Denodo has been recognized as such. I want to highlight the first of three strategic planning. The post Denodo recognized as a Leader in the 2023 Gartner® Magic Quadrant™ for Data Integration Report appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Beyond Sora: Exploring Vidu AI’s Capabilities in Text-to-Video Creation

Analytics Vidhya

Introduction The world of content creation is undergoing a remarkable transformation with the emergence of artificial intelligence. Text-to-video generation, a technology that allows users to create videos from simple text descriptions, is at the forefront of this revolution. Until recently, generating high-quality videos required significant time, resources, and expertise.

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New Startup Uses AI to Help Forex Traders Make Better Insights

Smart Data Collective

AI has led to some major changes in the financial sector. There are many ways that financial professionals are using AI which includes with algorithmic trading as we stated in this article. One of the many ways that AI is changing finance is by revolutionizing forex trading.

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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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Data protection activists accuse ChatGPT of GDPR breach

CIO Business Intelligence

European privacy rights group noyb filed a complaint against OpenAI with the Austrian Data Protection Authority on Monday, accusing the company of breaching the European Union’s General Data Protection Regulation (GDPR). The EU’s strict privacy rules require that companies allow individuals access to personal information held about them, as well as ensuring that such data is accurate.

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Containerize Python Apps with Docker in 5 Easy Steps

KDnuggets

Get up and running with Docker with this tutorial on containerizing Python applications.

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Taking the Wheel Back With Dataiku's Model Override Feature

Dataiku

In one of the flagship episodes of the 1980s series Knight Rider, the autonomous car KITT became uncontrollable, behaving erratically. The disaster was averted when Michael Knight finally regained control of KITT thanks to the manual override feature.

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Phi 3 – Small Yet Powerful Models from Microsoft

Analytics Vidhya

Introduction The Phi model from Microsoft has been at the forefront of many open-source Large Language Models. Phi architecture has led to all the popular small open-source models that we see today which include TPhixtral, Phi-DPO, and others. Their Phi Family has taken the LLM architecture a step forward with the introduction of Small Language […] The post Phi 3 – Small Yet Powerful Models from Microsoft appeared first on Analytics Vidhya.

Modeling 302
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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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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.

Sales 70
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Top 10 barriers to strategic IT success

CIO Business Intelligence

To Carm Taglienti, the explosion of all things AI over the past few years has been both a pro and a con to IT teams. On the one hand, artificial intelligence has helped both technology departments and the business units to work better, faster, and cheaper. But on the other hand, AI and generative AI in particular, as well as the speed at which intelligence barreled its way into organizations, have disrupted many IT plans, says Taglienti, chief data officer and distinguished engineer at tech firm

IT 124
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Free Python Resources That Can Help You Become a Pro

KDnuggets

This is a collection of free courses, books, projects, repositories, cheat sheets, and online compilers on Python to help you get started and gain experience.

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Stay Ahead of the Curve for GenAI Regulation in FSI

Dataiku

What are the specific implications of the EU AI Act for financial services firms? How can they get ahead of the curve for Generative AI regulation?

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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.