Sat.May 25, 2024 - Fri.May 31, 2024

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How to Move Generative AI Applications to Production?

Analytics Vidhya

Introduction Deploying generative AI applications, such as large language models (LLMs) like GPT-4, Claude, and Gemini, represents a monumental shift in technology, offering transformative capabilities in text and code creation. The sophisticated functions of these powerful models have the potential to revolutionise various industries, but achieving their full potential in production situations presents a challenging […] The post How to Move Generative AI Applications to Production?

Modeling 353
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Spot the Differences: Data Governance vs. AI Governance

Dataiku

AI Governance and data governance are both crucial for modern organizations, but they serve distinct purposes. Can you tell the difference between them? Understanding these differences is vital, especially with the introduction of the EU AI Act, which requires organizations to rethink their AI management strategies. In this blog post, we’ll explore these distinctions and explain why it's important to differentiate between the two.

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5 Best End-to-End Open Source MLOps Tools

KDnuggets

Explore free and open-source MLOps tools for enhanced data privacy and control over your models and code.

Modeling 110
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Process mining helps IT leaders modernize business operations

CIO Business Intelligence

Following a legislative review of state purchases in fiscal year 2022, the state of Oklahoma discovered that its agencies had procured more than $3 billion worth of goods and services outside the oversight of its Office of Management and Enterprise (OMES) Central Purchasing division. “Understandably, state leaders were concerned,” says CIO Joe McIntosh.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI

Cloudera

The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation.

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Chart Snapshot: Raisz Cartograms

The Data Visualisation Catalogue

Also knowns as a Rectangular Cartogram. A Raisz Cartogram is a Cartogram variation where each geographical region is represented by a rectangle, with the area being proportional to the data value being visualised geographically. The height and width of each rectangle in a Raisz Cartogram are adjusted to fit within the original geographical region shape as much as possible.

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Build a decentralized semantic search engine on heterogeneous data stores using autonomous agents

AWS Big Data

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. For example, financial analysts currently have to manually read and summarize lengthy regulatory filings and earnings transcripts in order to respond to Q&A on investment strategies.

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Unveiling the Path to Success as a Data Visualization Specialist

FineReport

In today’s data-driven world, the data visualization specialist plays a pivotal role in transforming complex information into visually appealing formats. The demand for skilled professionals in this field is rapidly increasing as businesses rely more on data for decision-making and operations. As companies seek to leverage data visualization expertise, individuals with the ability to present data in innovative ways are highly sought after.

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Data protection strategy: Key components and best practices

IBM Big Data Hub

Virtually every organization recognizes the power of data to enhance customer and employee experiences and drive better business decisions. Yet, as data becomes more valuable, it’s also becoming harder to protect. Companies continue to create more attack surfaces with hybrid models, scattering critical data across cloud, third-party and on-premises locations, while threat actors constantly devise new and creative ways to exploit vulnerabilities.

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10 Innovative Uses of Meta AI for Everyday Tasks

Analytics Vidhya

Introduction Meta AI provides a wide array of functions designed to enhance communication, efficiency, and creativity across various fields. These functions range from answering queries and generating text to translating languages and creating images. This article highlights 10 uses of Meta AI, showcasing its potential to transform the way we use AI chatbots for everyday […] The post 10 Innovative Uses of Meta AI for Everyday Tasks appeared first on Analytics Vidhya.

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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10 generative AI certs and certificate programs to grow your skills

CIO Business Intelligence

Generative AI is poised to disrupt nearly every industry, and IT professionals with highly sought after gen AI skills are in high demand, as companies seek to harness the technology for various digital and operational initiatives. The State of Generative AI in the Enterprise report from Deloitte found that 75% of organizations expect generative AI technology to impact talent strategies within the next two years, and 32% of organizations that reported “very high” levels of generative AI expertise

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5 Free MIT Courses to Learn Math for Data Science

KDnuggets

Learning math is super important for data science. Check out these free courses from MIT to learn linear algebra, statistics, and more.

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Implement a full stack serverless search application using AWS Amplify, Amazon Cognito, Amazon API Gateway, AWS Lambda, and Amazon OpenSearch Serverless

AWS Big Data

Designing a full stack search application requires addressing numerous challenges to provide a smooth and effective user experience. This encompasses tasks such as integrating diverse data from various sources with distinct formats and structures, optimizing the user experience for performance and security, providing multilingual support, and optimizing for cost, operations, and reliability.

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Here’s How You Can Fine-tune Llama 2 with Unsloth  

Analytics Vidhya

Introduction Training and fine-tuning language models can be complex, especially when aiming for efficiency and effectiveness. One effective approach involves using parameter-efficient fine-tuning techniques like low-rank adaptation (LoRA) combined with instruction fine-tuning. This article outlines the key steps and considerations to fine-tune LlaMa 2 large language model using this methodology.

Modeling 308
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The Role of Data Products in Maximizing ROI from AI Initiatives

Stuck with stalled AI projects? Data silos and fragmented processes are likely culprits. This IDC report unveils Data Products as the secret weapon. By treating data as a product, organizations can overcome these challenges and unlock the true potential of AI. Learn how a unified data control plane empowers Data Products to deliver trusted, high-quality data for faster insights and improved decision-making.

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Navigating the Cybersecurity Threat Landscape in the UAE: Strategies for CISOs

CIO Business Intelligence

Today’s organizations face challenges from multiple directions, including threats to the business from state-sponsored cyberattacks, geopolitical turmoil, inflation, and a shortage of security skills. For CISOs to succeed in this unprecedented security landscape, they must balance these threats with new approaches by performing continuous risk assessments, protecting digital assets, and managing the rapid pace of innovation in security technologies.

Strategy 121
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Top SQL Queries for Data Scientists

KDnuggets

SQL seems like a data science underdog compared to Python and R. However, it’s far from it. I’ll show you here how you can use it as a data scientist.

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Responsible AI can revolutionize tax agencies to improve citizen services

IBM Big Data Hub

The new era of generative AI has spurred the exploration of AI use cases to enhance productivity, improve customer service, increase efficiency and scale IT modernization. Recent research commissioned by IBM® indicates that as many as 42% of surveyed enterprise-scale businesses have actively deployed AI, while an additional 40% are actively exploring the use of AI technology.

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Python String Matching With Pregex

Analytics Vidhya

Introduction String matching in Python can be challenging, but Pregex makes it easy with its simple and efficient pattern-matching capabilities. In this article, we will explore how Pregex can help you find patterns in text effortlessly. We will cover the benefits of using Pregex, a step-by-step guide to getting started, practical examples, tips for efficient […] The post Python String Matching With Pregex appeared first on Analytics Vidhya.

Analytics 289
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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Accenture’s cloud migration sets standard for other large businesses

CIO Business Intelligence

Accenture was going through a period most companies would envy. The Dublin-based, global professional services leader had grown significantly organically and inorganically, including expanding into diverse businesses, propelled by $14 billion invested in more than 177 acquisitions in the last five years. As the company grew and expanded into new markets and services, its legacy Enterprise Resource Planning (ERP) system became increasingly complex, costly, and inflexible.

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5 Free Python Courses for Data Science Beginners

KDnuggets

Are you a data science beginner looking to learn Python? Start learning today with these 5 free courses.

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Architectural Patterns for real-time analytics using Amazon Kinesis Data Streams, Part 2: AI Applications

AWS Big Data

Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! In this fast-paced world, Kinesis Data Streams stands out as a versatile and robust solution to tackle a wide range of use cases with real-time data, from dashboarding to powering artificial intelligence (AI) applications. In this series, we streamline the process of identifying and applying the most suitable architecture for your business requirements, and help kickstart

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Top 9 Python Libraries for Data Engineers

Analytics Vidhya

Introduction Python is the favorite language for most data engineers due to its adaptability and abundance of libraries for various tasks such as manipulation, machine learning, and data visualization. This post looks at the top 9 Python libraries necessary for data engineers to have successful careers. We will look at each library’s unique features and […] The post Top 9 Python Libraries for Data Engineers appeared first on Analytics Vidhya.

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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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PwC integrates ChatGPT Enterprise into its practice, becomes a reseller

CIO Business Intelligence

Consulting firm PwC announced Wednesday that it is accelerating its adoption of generative AI in the US and UK through an agreement with OpenAI that it said makes it both the first reseller for ChatGPT Enterprise and the product’s largest user. “PwC consultants are leveraging the capabilities of ChatGPT Enterprise as a valuable tool in their work,” said partner and GenAI leader at PwC, Bret Greenstein.

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How to Use GPT for Generating Creative Content with Hugging Face Transformers

KDnuggets

Read this concise tutorial to find out how to use GPT to generate creative content with Hugging Face Transformers. No nonsense, just that facts.

Modeling 107
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Matching Skills and Candidates with Graph RAG

Ontotext

Motivation Asking “business” questions in natural language and having an oracle produce the perfect answer has been a sought-after feature since antiquity. Where once people would confide in divine oracles, golems, or fairies, today we trust our search platforms to digest encyclopaedic knowledge and make it easily available. In reality, the perfect answer may not exist, but surely there can be useful answers, in particular if formulating the question is made very easy.

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How to use sum() Function in Python?

Analytics Vidhya

Introduction In this article, you’ll discover an in-depth exploration of the sum() function in Python, a crucial built-in utility for aggregating numbers across various iterable types. We begin by explaining the fundamental syntax and parameters of the sum() function, followed by detailed examples showcasing its application to lists, dictionaries, sets, and tuples.

Analytics 260
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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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SAP AI pact with AWS offers customers more gen AI options

CIO Business Intelligence

SAP is expanding its AI ecosystem with a partnership with AWS. Such AI partnerships are important for SAP, said Chief Technology Officer Jürgen Müller, pointing to other cooperations, for example with IBM, the chip manufacturer Nvidia and various universities. In addition, SAP is also working closely with Microsoft and Google on AI. The cloud hyperscalers AWS, Google and Microsoft are also important platform partners to operate SAP’s cloud applications.

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Google Have Just Dropped a New Course: AI Essentials

KDnuggets

A course that helps career switchers and advancers harness the power of AI to transform the way they work.

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Alteryx to Dataiku: Feature Differences

Dataiku

Hello and welcome to our final installment of the Alteryx to Dataiku series! If you missed the previous articles, they can be found here. For today’s episode, let’s have a look at some other, less obvious but still important differences between the two platforms, and what the effects of these differences are.

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How to Build an Effective Text Summarization Model Using Google’s T5-Base?

Analytics Vidhya

Introduction Text summarization is an essential part of natural language processing (NLP) that tries to shorten enormous amounts of text and make more readable summaries while retaining crucial information. Given the expansion of internet material, good summarizing techniques are essential for various applications, such as academic research, content generation, and news summaries.

Modeling 270
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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.