CIO Business Intelligence

OCTOBER 17, 2023

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

Marketing IT Cost-Benefit Enterprise 144

KDnuggets

OCTOBER 19, 2023

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 143

IT 143

KDnuggets

OCTOBER 16, 2023

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

Data Science 149

Data Science IT 149

CIO Business Intelligence

OCTOBER 17, 2023

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.

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Optimization

AWS Big Data

OCTOBER 19, 2023

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

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Analytics Vidhya

OCTOBER 16, 2023

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.

Technology 364

Technology Analytics IT Modeling 364

O'Reilly on Data

OCTOBER 17, 2023

Anant Agarwal, an MIT professor and of the founders of the EdX educational platform, recently created a stir by saying that prompt engineering was the most important skill you could learn. And that you could learn the basics in two hours. Although I agree that designing good prompts for AI is an important skill, Agarwal overstates his case. But before discussing why, it’s important to think about what prompt engineering means.

Interactive 257

Interactive Software Testing IT 257

DataKitchen

OCTOBER 20, 2023

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 182

Insurance Metadata Data-driven Data Quality 182

Analytics Vidhya

OCTOBER 17, 2023

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 361

Modeling Analytics Deep Learning 361

David Menninger's Analyst Perspectives

OCTOBER 17, 2023

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 173

Analytics ROI Marketing Management 173

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

KDnuggets

OCTOBER 16, 2023

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

Data Science 157

Data Science Deep Learning Statistics Machine Learning 157

CIO Business Intelligence

OCTOBER 16, 2023

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.

Data-driven 143

Data-driven Software Interactive Technology 143

Analytics Vidhya

OCTOBER 20, 2023

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.

Technology 349

Technology Analytics 349

AWS Big Data

OCTOBER 16, 2023

In today’s digital era, data is abundant and constantly flowing. Businesses across industries are seeking ways to harness this wealth of information to gain valuable insights and make real-time decisions. To meet this need, AWS offers Amazon Kinesis Data Streams , a powerful and scalable real-time data streaming service. With Kinesis Data Streams, you can effortlessly collect, process, and analyze streaming data in real time at any scale.

Cost-Benefit 126

Cost-Benefit Testing Optimization Strategy 126

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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

Data-driven

KDnuggets

OCTOBER 20, 2023

From the biological neuron to LLMs: How AI became smart.

Machine Learning 156

Machine Learning 156

CIO Business Intelligence

OCTOBER 20, 2023

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.

Enterprise 143

Enterprise Data Processing Risk Technology 143

Analytics Vidhya

OCTOBER 19, 2023

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.

Interactive 348

Interactive Modeling Technology Analytics 348

Smart Data Collective

OCTOBER 19, 2023

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.

Consulting 119

Consulting Data-driven IT Digital Transformation 119

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

KDnuggets

OCTOBER 18, 2023

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 153

Modeling 153

CIO Business Intelligence

OCTOBER 17, 2023

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.

Digital Transformation 143

Digital Transformation B2B IoT Cost-Benefit 143

Analytics Vidhya

OCTOBER 18, 2023

Introduction Generative artificial intelligence, often called GenAI, is at the vanguard of the AI revolution, enabling robots’ limitless creative and problem-solving potential. GenAI represents a crucial fusion of cutting-edge technology and human creativity in a world where artificial intelligence continuously pushes the bounds of what is possible.

Technology 345

Technology Analytics Deep Learning Modeling 345

Smart Data Collective

OCTOBER 16, 2023

Nowadays, information consumption is skyrocketing. This information, dubbed Big Data, has grown too large and complex for typical data processing methods. Companies want to use Big Data to improve customer service, increase profit, cut expenses, and upgrade existing processes. The influence of Big Data on business is enormous. Where does big data come from?

Big Data 117

Big Data IoT Cost-Benefit Advertising 117

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Reporting

KDnuggets

OCTOBER 17, 2023

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 152

Modeling 152

CIO Business Intelligence

OCTOBER 18, 2023

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

Risk Manufacturing Enterprise Technology 141

Analytics Vidhya

OCTOBER 20, 2023

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 343

Analytics Deep Learning Machine Learning Data Science 343

Smart Data Collective

OCTOBER 16, 2023

We have previously written about the benefits of data visualization, including its advantages with content marketing. We felt we were overdue for another article on this topic, so we wanted to talk about a particular type of technology that can be beneficial – box plots. Data visualization techniques like the box plot are instrumental in modern data analysis.

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Visualization Statistics Marketing IT 117

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

KDnuggets

OCTOBER 16, 2023

Due to unsustainable hype, unrealistic valuations, limitations of current technology, and unproven business models.

Modeling 152

Modeling Technology 152

CIO Business Intelligence

OCTOBER 16, 2023

Signing up for cloud services is easy. But getting control of cloud spending can be a persistent challenge for an enterprise focused on making the most of its technology investment. Gartner predicted worldwide end-user spending on public cloud services would grow 20.7% in 2023, to $591.8 billion. A survey for Foundry’s Cloud Computing Study 2023 found that lowering total cost of ownership ranks in the top three drivers of cloud computing initiatives, but controlling cloud costs was the top chall

Optimization 140

Optimization Enterprise Finance Data Processing 140

Analytics Vidhya

OCTOBER 17, 2023

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 343

Strategy Analytics Finance Machine Learning 343

AWS Big Data

OCTOBER 20, 2023

Amazon MSK Connect is a feature of Amazon Managed Streaming for Apache Kafka (Amazon MSK) that offers a fully managed Apache Kafka Connect environment on AWS. With MSK Connect, you can deploy fully managed connectors built for Kafka Connect that move data into or pull data from popular data stores like Amazon S3 and Amazon OpenSearch Service. With the introduction of the Private DNS support into MSK Connect , connectors are able to resolve private customer domain names, using their DNS servers c

Data Processing 114

Data Processing Snapshot Data Warehouse Management 114

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven