Tue.Oct 17, 2023

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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 323
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Prompting Isn’t The Most Important Skill

O'Reilly on Data

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.

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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 318
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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
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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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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 149
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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

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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.

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DALL·E 3 is Here with ChatGPT Integration

KDnuggets

Dive into how OpenAI’s new image generator DALL·E 3 is pushing limits, and see how it's making image generation much more accessible.

IT 124
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NetSuite adds generative AI to its entire ERP suite

CIO Business Intelligence

NetSuite is adding generative AI and a host of new features and applications to its cloud-based ERP suite in an effort to compete better with midmarket rivals including Epicor, IFS, Infor, and Zoho in multiple domains such as HR, supply chain, banking, finance, and sales. The new capabilities were announced on Tuesday at the company’s annual SuiteWorld conference in Las Vegas.

IT 130
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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.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.

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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.

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Accelerate your data warehouse migration to Amazon Redshift – Part 7

AWS Big Data

Tens of thousands of customers use Amazon Redshift to gain business insights from their data. With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. You can also integrate other AWS services such as Amazon EMR , Amazon Athena , Amazon SageMaker , AWS Glue , AWS Lake Formation , and Amazon Kinesis to use all the analytic capabilities in AWS.

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Don’t make the biggest mistake in application modernization projects

CIO Business Intelligence

Application modernization isn’t simply a trend; it’s the mandate for every IT organization. The cost of running old applications and the infrastructure that supports them is problematic. They also lack new features and capabilities, making them a competitive liability. Simply lifting and shifting current code to the cloud doesn’t help and can cost much more.

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3 reasons why business and data analysts need to work with real-time events

IBM Big Data Hub

In a research brief defining “5 trends for 2023,” the IBM Institute for Business Value reports, “In 2023, rapid response is the new baseline. Uncertainty is expected and complexity is compounding. As threats materialize on multiple fronts, organizations must reduce the time from insight to action.” 1 Business and data analysts are intimately familiar with the growing business need for precise, real-time intelligence.

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How To Speak The Language Of Financial Success In Product Management

Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.

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The Dynamic Duo: Shaping Generative AI With Tech-Agnostic Platforms and Governance

Dataiku

There is an abundance of information, both in published sources and from firsthand experiences , that delves into the governance complexities associated with the deployment of Large Language Models (LLMs) or Generative AI. Whether you are examining the ethical repercussions downstream of Generative AI, the concerns surrounding data security and privacy when training a model internally or relying on third-party models, or the considerations related to audit logging and documentation for regulator

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Some Kick Ass Prompt Engineering Techniques to Boost our LLM Models

KDnuggets

And how to go beyond its basics.

Modeling 132
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Scapegoating Analysts | Recognizing & Preventing A Bad Idea.

Occam's Razor

Here’s a sign that you’ve arrived as an Analyst or an Analytics team: At the first sign of failure reported by the data, most people blame you (Analyst/Data). Wear it as a badge of honor! It means your analysis has identified insights that are big enough, important enough, that the recipients get instantly worried. Ideally, you live in a culture where good analysis identifying poor performance would be warmly welcomed as an opportunity to learn, an opportunity to change, and, for the bravest cul

KPI 60
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Implementing an Effective Data Strategy

TDAN

According to the authors of “Data Is Everybody’s Business,” a data strategy “lays out an organization’s goals and plans for managing and exploiting data.” So, where are chief information officers (CIOs) at in facilitating a data strategy with their business counterparts? What things get in the way the most?

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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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AI Research with @iamanneharris: TDI 26

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 was always keenly aware that all of the activity was teaching me ways to interact with systems that one day might need me as much as I had needed them.” — P Anne Harris (@iamanneha

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Exploring Cloud Computing Risks and Security Hurdles

TDAN

The worldwide shift toward cloud computing significantly changes how businesses approach data management and operation. Regardless of whether private, public, or hybrid cloud models are employed, the advantages of cloud computing are numerous, including heightened efficiency, reduced expenses, and increased flexibility.

Risk 52
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CIOs must safeguard organizations with a validated Zero Trust solution

CIO Business Intelligence

Cyber vulnerabilities are among a CIO’s greatest fears. And with good reason. No industry or organization is immune to the growing frequency, sophistication and success of cyberattacks and the steep, often devastating, organizational costs they incur. Yet, after collectively investing an estimated $219B 1 worldwide in cybersecurity, only four in 10 organizational leaders feel confident that security is embedded in their technology and applications according to the Dell Technologies Innovation

Risk 124
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Storytelling with Data: Crafting Compelling Narratives

TDAN

Imagine you’re in a meeting and the analytics team bombards you with numbers. Sales have dropped by X%. Ad spend has increased by Y%. Cost-per-click is now Z. The meeting ends, and you promptly forget everything. What if the analytics team had instead turned those raw numbers into a memorable narrative?

Sales 52
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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, he’ll uncover how AI can be the ultimate sidekick, aiding in data management and reporting, enhancing productivity, and boosting innovation.

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5 Key Takeaways from #Current2023

Cloudera

Recently, Confluent hosted Current 2023 (formerly Kafka summit) in San Jose on Sept 26th and 27th. With few conferences curating content specific to streaming developers, Current has historically been an important event for anyone trying to keep a pulse on what’s happening in the streaming space. Over 2,000 attendees and lots of new solutions were on display, and the event proved to be a clear look into the current (no pun intended) state of streaming and where it is headed.

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The Book Look: Data Strategies for Data Governance

TDAN

What makes a data book great? Our time is valuable, so a good data book should be concise and practical. It should show us how to do something, step by step, so we can apply the techniques to reinforce and always remember. The experiences of the author should shine through in every chapter.

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Unleashing real-time insights: Monitoring SAP BTP cloud-native applications with IBM Instana

IBM Big Data Hub

Introducing the SAP Business Technology Platform The SAP Business Technology Platform (BTP) is a technological innovation platform designed for SAP applications to combine data and analytics, AI, application development, automation and integration into a single, cohesive ecosystem. BTP is SAP’s integration and application development platform for SAP clients, who want to extend their S/4 system.

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Who Is Responsible for Data Quality in Data Pipeline Projects?

TDAN

Where exactly within an organization does the primary responsibility lie for ensuring that a data pipeline project generates data of high quality, and who exactly holds that responsibility? Who is accountable for ensuring that the data is accurate? Is it the data engineers? The data scientists? The team responsible for data governance? The data analysts?

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Deliver Mission Critical Insights in Real Time with Data & Analytics

In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.

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Why data discovery and data classification are so difficult for organizations – and how to make it easier

Laminar Security

Mapping, classifying, and reporting on data in the cloud is challenging for many companies, and the more cloud-centric the company, the greater the challenge. Businesses with a “cloud first” operating mode simply experience a faster rate of change. Their environments are complex – comprising multi-cloud, SaaS, and on-premise elements. They are dealing with massive amounts of data and are subject to new and changing regulations.

IT 94
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Crossing the Data Divide: Framework for Selling Data Initiatives

TDAN

Deja Vu All Over Again Something interesting has been happening to me over the last few months that I’ve not experienced in a while. Smart and experienced CIOs and their data leaders have been asking me for input regarding how to sell the value of a data program.

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Application monitoring best practices: What’s the best approach for your business?

IBM Big Data Hub

It is vital for organizations to understand how their applications operate to ensure that applications meet expectations for performance, availability and overall end-user experience. This is achieved through application monitoring, and the use of application monitoring software. Broadly speaking, application monitoring software measures application performance, security and compliance, sends alerts when performance baselines are not met, provides insight into the root causes of performance issu

Metrics 70