Sat.Oct 14, 2023 - Fri.Oct 20, 2023

article thumbnail

7 cloud market trends and how they will impact IT

CIO Business Intelligence

The cloud market has been a picture of maturity of late. The pecking order for cloud infrastructure has been relatively stable, with AWS at around 33% market share, Microsoft Azure second at 22%, and Google Cloud a distant third at 11%. (IBM, Oracle, and Salesforce are in the 2-3% range.) Revenue growth remains solid across the industry, but slowing somewhat, with none of the Big 3 outperforming the others enough to materially alter the balance of power.

Marketing 144
article thumbnail

Semantic Layer: The Backbone of AI-powered Data Experiences

KDnuggets

Looking to understand the semantic layer and how it can improve the AI-powered data experience? Read more to learn why a semantic layer can be the backbone of LLMs and reduce hallucinations.

IT 126
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Mastering the Art of Data Cleaning in Python

KDnuggets

How to clean your data in Python and make it ready for use in a data science project.

article thumbnail

How to get internal employee poaching right

CIO Business Intelligence

Market competition for IT talent remains so stiff that IT leaders are increasingly looking to poach employees from other departments to fill IT openings. But snagging a potentially new IT “shining star” from another business function, even when the employee has already expressed an interest in shifting to an IT career, can get complicated. Take, for example, an employee who has strong business chops in a particular domain that IT lacks.

article thumbnail

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.

article thumbnail

Load data incrementally from transactional data lakes to data warehouses

AWS Big Data

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. An open table format such as Apache Hudi , Delta Lake , or Apache Iceberg is widely used to build data lakes on Amazon Simple Storage Service (Amazon S3) in a transactionally consistent manner for use cases including record-level upserts and deletes, change data capture (CDC), ti

Data Lake 109
article thumbnail

Fine-Tuning, Retraining, and Beyond: Advancing with Custom LLMs

Analytics Vidhya

Introduction I’m pretty sure most of you have already used ChatGPT. That’s great because you’ve taken your first step on a journey we’re about to embark on in this article! You see, when it comes to mastering any new technology, the first thing you do is use it. It’s like learning to swim by jumping […] The post Fine-Tuning, Retraining, and Beyond: Advancing with Custom LLMs appeared first on Analytics Vidhya.

More Trending

article thumbnail

Mobile Analytics Buyers Guide: Market Observations

David Menninger's Analyst Perspectives

The 2023 Ventana Research Buyers Guide for Mobile Analytics research enables me to provide observations about how the market has advanced.

Marketing 284
article thumbnail

The Need For Personalized Data Journeys for Your Data Consumers

DataKitchen

In today’s data-driven landscape, Data and Analytics Teams i ncreasingly face a unique set of challenges presented by Demanding Data Consumers who require a personalized level of Data Observability. As opposed to receiving one-size-fits-all status updates, these key stakeholders desire real-time, granular insights into the status of their specific data as it traverses the complicated data production pipeline.

Insurance 176
article thumbnail

Build a RAG Pipeline With the LLama Index

Analytics Vidhya

Introduction One of the most popular applications of large language models (LLMs) is to answer questions about custom datasets. LLMs like ChatGPT and Bard are excellent communicators. They can answer almost anything that they have been trained on. This is also one of the biggest bottlenecks for LLMs. They can only answer the questions they […] The post Build a RAG Pipeline With the LLama Index appeared first on Analytics Vidhya.

Modeling 345
article thumbnail

Addressing the insecurity of verified identities

CIO Business Intelligence

Cybersecurity has been identity-centric since the first username and password appeared. During the infancy of personal computers, user identification was considerably simpler. At that time, workplace technology was physically confined to an office and the business network (if one existed). The only people with access were employees and maybe office cleaning staff.

article thumbnail

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?

article thumbnail

The Buyers Guide for Mobile Analytics Classifies and Rates Vendors

David Menninger's Analyst Perspectives

I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Mobile Analytics Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Analytics vendors supporting the spectrum of

Analytics 167
article thumbnail

7 Steps to Mastering Large Language Models (LLMs)

KDnuggets

Large Language Models (LLMs) have unlocked a new era in natural language processing. So why not learn more about them? Go from learning what large language models are to building and deploying LLM apps in 7 easy steps with this guide.

Modeling 141
article thumbnail

Integrating Generative AI and Reinforcement Learning for Self-Improvement

Analytics Vidhya

Introduction In the ever-evolving landscape of artificial intelligence, two key players have come together to break new ground: Generative AI and Reinforcement Learning. These cutting-edge technologies, Generative AI and Reinforcement Learning, have the potential to create self-improving AI systems, taking us one step closer to realizing the dream of machines that learn and adapt autonomously.

article thumbnail

The 4 pillars of the Zscaler Zero Trust Exchange: Customers share their successes

CIO Business Intelligence

We’ve all heard this mantra: “Secure digital transformation requires a true zero trust architecture.” But what exactly does that mean? Zero trust has come a long way. No longer a nebulous, aspirational term equated with the concept “never trust, already verify,” zero trust has evolved into a solid technology framework that enables proactive defense and digital transformation as organizations embrace the cloud and hybrid work models.

article thumbnail

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.

article thumbnail

The Role of IT Consulting for Data-Driven Businesses

Smart Data Collective

Many businesses use big data technology to bolster efficiency. One study from Zappia found that 97.2% of companies say that they use data analytics in some capacity. While only 24% call themselves data-driven, the figure is growing significantly. Big data is changing the business models of many organizations. However, many companies are still struggling to figure out how to utilize data analytics and AI properly.

article thumbnail

5 Free Books to Master Data Science

KDnuggets

Want to break into data science? Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning.

article thumbnail

Sample Question Paper for GATE DA 2024

Analytics Vidhya

Introduction GATE 2024 aspirants, here’s some great news for you! The Indian Institute of Science (IISc) has just released sample papers for the upcoming GATE exam. These samples are precious resources to enhance your preparation. In this blog post, we’ve compiled an extensive list of questions from the GATE DA sample papers to empower your […] The post Sample Question Paper for GATE DA 2024 appeared first on Analytics Vidhya.

Analytics 327
article thumbnail

How to capitalize on ‘Trustworthy AI’

CIO Business Intelligence

When a new wave of technology innovation seems to be breaking over the horizon, the fear of missing out — FOMO — can drive hasty decisions on new IT investments. Recent, rapid advances in artificial intelligence (AI) may represent one of the biggest FOMO moments ever , so, it’s critical that decision-makers get out in front of the wave and figure out how to implement Trustworthy AI.

article thumbnail

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.

article thumbnail

Quantum Computing with @hellodavidryan: TDI 24

Data Science 101

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. Note: The views in these interviews are personal views and do not represent the interviewee’s employer. “Within ten years there will be everything from small form factor QPUs doing 10 to 30 qubits as a part of roaming networks of devices, through to crazy large quantum devices doing thousands

Risk 107
article thumbnail

ChatGPT vs. BARD

KDnuggets

Large language models (LLMs) are transforming the way we process and produce information. But, before considering either one of these models as a one-stop-solution, one must consider their key differences.

Modeling 134
article thumbnail

Building and Validating Simple Stock Trading Algorithms Using Python

Analytics Vidhya

Introduction Algorithmic trading is a widely adopted trading strategy that has revolutionized the way people trade stocks. More and more people are making money on the side by investing in stocks and automating their trading strategies. This tutorial will teach you how to build stock trading algorithms using primitive technical indicators like MACD, SMA, EMA, […] The post Building and Validating Simple Stock Trading Algorithms Using Python appeared first on Analytics Vidhya.

Strategy 328
article thumbnail

CIOs press ahead for gen AI edge — despite misgivings

CIO Business Intelligence

OpenAI’s November 2022 announcement of ChatGPT and its subsequent $10 billion in funding from Microsoft were the “shots heard ’round the world” when it comes to the promise of generative AI. If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over

Risk 141
article thumbnail

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.

article thumbnail

The Future of AR with @jonlax: TDI 27

Data Science 101

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. Note: The views in these interviews are personal views and do not represent the interviewee’s employer. “I see AR having awareness of the world around us and being able to assist us in that world.” Jon Lax (@jonlax) on Threads Today we have @jonlax , what is one application of Augmented

IT 105
article thumbnail

7 Best Cloud Database Platforms

KDnuggets

Cloud databases have made it easier and cheaper to develop enterprise-level applications, offering flexibility, convenience, and standard database functionality. See what KDnuggets recommends.

article thumbnail

A Comprehensive Guide to Using Chains in Langchain

Analytics Vidhya

Introduction Step into the forefront of language processing! In a realm where language is an essential link between humanity and technology, the strides made in Natural Language Processing have unlocked some extraordinary heights. Within this progress lies the groundbreaking Large Language Model, a transformative force reshaping our interactions with text-based information.

article thumbnail

Top 8 IT certifications in demand today

CIO Business Intelligence

Certifications can validate your IT skills and experience to show employers you have the expertise to get the job done. When it comes to certifications, you can typically choose to get certified in skills that you already have, or you can use certification as an opportunity to grow your skill set and develop skills you’d like to put to use in your career.

IT 137
article thumbnail

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.

article thumbnail

How foundation models can help make steel and cement production more sustainable

IBM Big Data Hub

Heavy industries, particularly cement, steel and chemicals, are the top greenhouse gas emitting industries, contributing 25% of global CO2 emission. They use high temperature heat in many of their processes that is primarily driven by fossil fuel. Fighting climate change requires lowering heavy industry emissions. However, these industries face tremendous challenges to reduce greenhouse gas emissions.

Modeling 107
article thumbnail

How To Fine-Tune ChatGPT 3.5 Turbo

KDnuggets

This article has outlined how you can fine tune your GPT 3.5 Turbo models. You can do this by preparing your data, uploading your files, and then setting up a custom OpenAI session to handle the fine tuning.

Modeling 124
article thumbnail

Top 5 AI Tools for Data Science Professionals

Analytics Vidhya

Introduction In today’s data-driven world, data science has become a pivotal field in harnessing the power of information for decision-making and innovation. As data volumes grow, the significance of data science tools becomes increasingly pronounced. Data science tools are essential in many facets of the profession, from data collection and preprocessing to analysis and visualization. […] The post Top 5 AI Tools for Data Science Professionals appeared first on Analytics Vidhya.

article thumbnail

Allstate’s cloud-first approach to digital transformation pays off

CIO Business Intelligence

Most companies’ digital journeys begin by migrating legacy applications to the cloud — the theory being that lifting and shifting workloads can provide a fast onramp to making good on services and capabilities unique to the cloud. But home and automobile insurance company Allstate is taking a different approach. Zulfi Jeevanjee, EVP and CIO, believes the best way to build and align next-generation business processes and modern IT platforms is to build anew, and so he is taking a cloud-first appr

article thumbnail

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