Sat.Sep 23, 2023 - Fri.Sep 29, 2023

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In observability, “automation” is spelled I-N-S-T-A-N-A

IBM Big Data Hub

Modern application environments need real-time automated observability to have visibility and insights into what is going on. Because of the highly dynamic nature of microservices and the numerous interdependencies among application components, having an automated approach to observability is essential. That’s why traditional solutions like New Relic struggle to keep up with monitoring in cloud-native environments.

Metrics 110
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IT Budgeting Practices for Data-Driven Companies

Smart Data Collective

Companies are investing more in big data than ever before. Last year, global businesses spent over $271 billion on big data. While there are many benefits of big data technology, the steep price tag can’t be ignored. Companies need to appreciate the reality that they can drain their bank accounts on data analytics and data mining tools if they don’t budget properly.

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The Data Maturity Pyramid: From Reporting to a Proactive Intelligent Data Platform

KDnuggets

This article describes the data maturity pyramid and its various levels, from simple reporting to AI-ready data platforms. It emphasizes the importance of data for business and illustrates how data platforms serve as the driving force behind AI.

Reporting 107
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5 Free Data Science Projects With Solutions

Analytics Vidhya

Introduction Are you eager to dive into data science and sharpen your skills? Look no further! This article will explore five exciting data science projects with step-by-step solutions. Whether you’re a novice looking to learn or an experienced data enthusiast seeking to expand your portfolio, these hands-on free data science projects will empower you to […] The post 5 Free Data Science Projects With Solutions appeared first on Analytics Vidhya.

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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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Oracle bolsters distributed cloud, AI strategy with new Mexico cloud region

CIO Business Intelligence

Oracle has partnered with telecommunications service provider Telmex-Triara to open a second region in Mexico in an effort to keep expanding its data center footprint as it eyes more revenue from AI and generative AI-based workloads. Earlier this month, the company said it expects cloud revenue to grow 29% to 31% in the second quarter of 2024, driven by high demand for AI and generative A I workloads from enterprises.

Strategy 144
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Introducing the LLM Mesh: A Common Backbone for Generative AI Applications

Dataiku

As more and more organizations experiment with Generative AI and deploy it in production, a crucial question emerges: Can these applications be both safe and scalable in an enterprise context? The answer is yes, via the LLM Mesh — a common backbone for Generative AI applications that promises to reshape how analytics and IT teams securely access Generative AI models and services.

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A Beginners Guide to LLMOps For Machine Learning Engineering 

Analytics Vidhya

Introduction The release of OpenAI’s ChatGPT has inspired a lot of interest in large language models (LLMs), and everyone is now talking about artificial intelligence. But it’s not just friendly conversations; the machine learning (ML) community has introduced a new term called LLMOps. We have all heard of MLOps, but what is LLMOps? Well, it’s […] The post A Beginners Guide to LLMOps For Machine Learning Engineering appeared first on Analytics Vidhya.

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10 most in-demand generative AI skills

CIO Business Intelligence

If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams. Analyzing the hiring behaviors of companies on its platform, freelance work marketplace Upwork has AI to be the fastest growing category for 2023, noting that posts for generative AI jobs increased more

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Build event-driven architectures with Amazon MSK and Amazon EventBridge

AWS Big Data

Based on immutable facts (events), event-driven architectures (EDAs) allow businesses to gain deeper insights into their customers’ behavior, unlocking more accurate and faster decision-making processes that lead to better customer experiences. In EDAs, modern event brokers, such as Amazon EventBridge and Apache Kafka, play a key role to publish and subscribe to events.

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Getting Started with PyTorch in 5 Steps

KDnuggets

This tutorial provides an in-depth introduction to machine learning using PyTorch and its high-level wrapper, PyTorch Lightning. The article covers essential steps from installation to advanced topics, offering a hands-on approach to building and training neural networks, and emphasizing the benefits of using Lightning.

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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 to Become a Supply Chain Analyst in 2023?

Analytics Vidhya

Introduction In a world where laptops travel thousands of miles before reaching your doorstep and your favorite restaurant’s secret ingredient arrives from afar, the global supply chain orchestrates this intricate dance of goods and services. The supply chain analysts emerge as the unsung heroes, navigating these challenges to ensure products reach consumers seamlessly.

Analytics 373
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6 IT rules worth breaking — and how to get away with it

CIO Business Intelligence

There comes a time in every IT leader’s life when a key decision must be made: whether to follow an established rule or, as a matter of necessity, break precedent and embark on an alternate course. Management rules typically exist to enable faultless decision-making, set a foundation for consistent operation, and provide protection from risk, observes Ola Chowning, a partner at global technology research and advisory firm ISG.

IT 141
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4 Common Misconceptions Surrounding IoT Cybersecurity Compliance

Smart Data Collective

If you’re a manufacturer of IoT devices, you see compliance as something that keeps pushing product release deadlines further in the future. If you’re a cybersecurity professional, who knows that there are too many IoT devices within an infrastructure of a business to count, IoT security is something that keeps you up at night. If you’re a consumer, you might not even know that your new smart TV or refrigerator can put your data at risk.

IoT 113
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A Comparative Overview of the Top 10 Open Source Data Science Tools in 2023

KDnuggets

Are you looking for the open source tools to help you in your data science journey? Look no further. Discover these game-changers that will elevate your data-driven decisions.

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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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Fundamental Principles of Langchain in LLM Based Application Development

Analytics Vidhya

Introduction We live in an age where large language models (LLMs) are on the rise. One of the first things that comes to mind nowadays when we hear LLM is OpenAI’s ChatGPT. Now, did you know that ChatGPT is not exactly an LLM but an application that runs on LLM models like GPT 3.5 and […] The post Fundamental Principles of Langchain in LLM Based Application Development appeared first on Analytics Vidhya.

Modeling 349
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8 questions CIOs should ask to prime their business for gen AI

CIO Business Intelligence

Companies are now recognizing the work ahead of them to get their data, people, and processes ready to capitalize on gen AI’s potential. In fact, insights from a recent Accenture survey found that nearly all (99%) executives said they plan to amplify their investments in the technology. So leaders will need to radically re-think how work gets done. And CIOs—given their cross-functional view of business processes coupled with an intimate understanding of how technology can be leveraged to reinven

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The Coolest Watch for any Dev or Data Scientist

Data Science 101

Who needs a Smart Watch when you can have one of these? The Casio Calculator Watch has changed none since the 1990s. It can still master all your elementary school math tests. Rumor is: you can launch space shuttles and rockets with the right combination of button presses. Always be the most interesting person in the room! Purchase with the link below.

Testing 111
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5 Free Books to Help You Master Python

KDnuggets

From the basics of Python to clean architecture and more, here are five free books to level up your Python skills.

146
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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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Data Science Curriculum for Self Study

Analytics Vidhya

Introduction Are you planning to become a data scientist but dont know where to start? Don’t worry, we have got you covered. This article will cover the entire data science curriculum for self study, along with list of resources and programs that can help you pace up the process. This curriculum covers the basics of […] The post Data Science Curriculum for Self Study appeared first on Analytics Vidhya.

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Should finance organizations bank on Generative AI?

CIO Business Intelligence

As I work with financial services and banking organizations around the world, one thing is clear: AI and generative AI are hot topics of conversation. These conversations are so weighty, they are happening at the boardroom level. I get it. Financial organizations want to capture generative AI’s tremendous potential while mitigating its risks. In the finance and banking industry, however, organizations are seeking extra guidance on the best way forward.

Finance 133
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Real-time transaction data analysis with IBM Event Automation

IBM Big Data Hub

As the pace and volume of digital business continue to increase, organizations are facing mounting pressure to accelerate the speed at which they do business. The ability to quickly respond to shifting customer and market dynamics has become key for contending with today’s growing digital economy. In a survey run by IDC, a leading provider of global IT research and advice, 43% of technology leaders indicated that they were “planning to deliver innovative digital products and services

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Software Bill of Materials is Crucial for AI-Driven Cybersecurity

Smart Data Collective

AI technology has had a tremendous impact on the cybersecurity profession. More organizations are investing in it than ever, especially as they struggle to cope with the growing threat of hackers using AI to commit more brazen attacks. A recent study by IBM shows that AI has led to a number of huge benefits that can help stop data breaches. The survey that almost all organizations use AI to some degree or another for cybersecurity, but only 28% use it extensively.

Software 109
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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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Unlocking Knowledge with Retrieval-Augmented Generation (RAG) in AI

Analytics Vidhya

Introduction The rapid advancements in Large Language Models (LLMs) have transformed the landscape of AI, offering unparalleled capabilities in natural language understanding and generation. LLMs have ushered in a new language understanding and generation era, with OpenAI’s GPT models at the forefront. These remarkable models honed on extensive online data, have broadened our horizons, enabling […] The post Unlocking Knowledge with Retrieval-Augmented Generation (RAG) in AI appeared

Modeling 343
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Embrace the Generative AI revolution: a guide to integrating Generative AI into your operations

CIO Business Intelligence

Generative AI (GenAI) is not just the topic of the hour – it may well be the topic of the decade and beyond. Until a year ago, when people suggested that AI was already mainstream and asked what the next big thing would be, I replied that we had not reached the end state of AI yet. All of us have experienced this with ChatGPT – the conversation has shifted completely.

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Building a Convolutional Neural Network with PyTorch

KDnuggets

This blog post provides a tutorial on constructing a convolutional neural network for image classification in PyTorch, leveraging convolutional and pooling layers for feature extraction as well as fully-connected layers for prediction.

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Big Data & AI In Collision Course With IP Laws – A Complete Guide

Smart Data Collective

Big data and AI are remarkable technologies transforming the face of industries, setting a new benchmark in efficiency, accuracy, and productivity. However, like all technologies, they also come with their own set of challenges and risks. One such critical area pertains to Intellectual Property (IP) laws. Given the massive amount of data processed and the autonomous decision-making capabilities of AI, it isn’t surprising that IP laws are getting increasingly involved.

Big Data 103
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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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Empowering Contextual Document Retrieval: Leveraging GPT-2 and LlamaIndex

Analytics Vidhya

Introduction In the world of information retrieval, where oceans of text data await exploration, the ability to pinpoint relevant documents efficiently is invaluable. Traditional keyword-based search has its limitations, especially when dealing with personal and confidential data. To overcome these challenges, we turn to the fusion of two remarkable tools: leveraging GPT-2 and LlamaIndex, an […] The post Empowering Contextual Document Retrieval: Leveraging GPT-2 and LlamaIndex appeared fir

Analytics 344
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12 ‘best practices’ IT should avoid at all costs

CIO Business Intelligence

What makes IT organizations fail? Often, it’s the adoption of what’s described as “industry best practices” by people who ought to know better but don’t, probably because they’ve never had to do the job. From establishing internal customers to instituting charge-backs to insisting on ROI, a lot of this advice looks plausible when viewed from 50,000 feet or more.

IT 126
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Spatial computing is the next frontier in airline flight safety

IBM Big Data Hub

Flight delays are a frustrating aspect of flying. It’s a situation most can relate to: sitting in the terminal or on the tarmac wondering why your flight is delayed, with no answers or information. There are dozens of reasons why an aircraft could be delayed with safety being the underpinning reason for many of them. Suppose an aircraft incurs minor damage from a lightning strike or by coming into contact with ground equipment as it’s being towed or refueled, or it sustains damage fr

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Translating Artificial Intelligence: Learning to Speak Global Languages

Smart Data Collective

Have you ever wondered what it would be like if machines could learn to speak every language in the world? Brace yourself, because the future is here. In this article, how does AI translation work ? You’ll discover how machines are evolving to understand and communicate in different languages, the role of neural networks in language learning, and the challenges of translating complex expressions.

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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.