Fri.Feb 23, 2024

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Mistral Next: The Latest GPT-4 Competitor from Mistral AI

Analytics Vidhya

French AI startup Mistral AI has unveiled its latest prototype language model, “Mistral Next,” sparking excitement and curiosity within the tech community. Positioned as a potential competitor to renowned models like GPT-4, Mistral Next promises advanced capabilities and a commitment to ethical conversation. Let’s delve into the details of this new release.

Modeling 342
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DataKitchen Resource Guide To Data Journeys & Data Observability & DataOps

DataKitchen

DataKitchen Resource Guide To Data Journeys & Data Observability & DataOps Data (and Analytic) Observability & Data Journey – Ideas and Background Data Journey Manifesto and Why the Data Journey Manifesto? Five Pillars of Data Journeys Data Journey First DataOps “You Complete Me,” said Data Lineage to Data Journeys. Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability The Need For Personalized Data Journeys for Your Data Consumers Data Te

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Top 7 Strategies to Mitigate Hallucinations in LLMs

Analytics Vidhya

The introduction of Large Language Models (LLMs) has brought in a significant paradigm shift in artificial intelligence (AI) and machine learning (ML) fields. With their remarkable advancements, LLMs can now generate content on diverse topics, address complex inquiries, and substantially enhance user satisfaction. However, alongside their progression, a new challenge has surfaced: Hallucinations.

Strategy 312
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Kyndryl bets on partnerships, consulting arm to redeem itself

CIO Business Intelligence

IBM spin-off Kyndryl is betting on its consulting arm, dubbed Kyndryl Consult, to return to growth by rapidly expanding its partnership ecosystem to deliver more diversified offerings. “We have established an ecosystem of around 30 partners since our spin from IBM well over 24 months ago. Our most recent global partnerships were announced late last year with Palo Alto Networks and Dynatrace,” said Mark Slaga, global practice leader at Kyndryl Consult.

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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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7 Most Common Questions Around LLMs

Analytics Vidhya

Introduction How does your phone predict your next word, or how does an online tool fine-tune your emails effortlessly? The powerhouse behind these conveniences are Large Language Models. But what exactly are these LLMs, and why are they becoming a hot topic of conversation? The global market for these advanced systems hit a whopping $4.35 […] The post 7 Most Common Questions Around LLMs appeared first on Analytics Vidhya.

Marketing 298
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American Honda IT to fuel innovation with generative AI

CIO Business Intelligence

The digital reinvention of American Honda Motor Co. may not seem as dramatic as its transformation to fully electric vehicles, but it provides the company’s 30,000-plus employees the engine necessary to help fuel the automaker’s ingenuity. The Torrance, Calif.-based subsidiary of the Japanese automaker, which debuted its first hybrid EV in 1996, is moving into production its first all-electric, zero-emissions automobiles co-developed with GM this spring — Honda Prologue and Acura’s ZDX SUV — as

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What are the main challenges CISOs are facing in the Middle East?

CIO Business Intelligence

Q. From a cybersecurity perspective, how has been 2023? Very eventful year as far as cybersecurity is concerned. The year has been marked by a general increase in state-sponsored attacks due to geopolitical conflicts. The rise of AI has also been increasing and has greatly affected the way cybersecurity could be enhanced at the same time allowing cyber criminals well-versed with AI to launch more sophisticated attacks against their victims and making themselves harder to detect and/or defend aga

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Conversational AI use cases for enterprises

IBM Big Data Hub

Today, people don’t just prefer instant communication; they expect it. Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges. Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage.

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Free Mastery Course: Become a Large Language Model Expert

KDnuggets

It is a self-paced course that covers fundamental and advanced concepts of LLMs and teaches how to deploy them in production.

Modeling 120
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AI Leads to Major Breakthroughs in Mobile Games in 2024

Smart Data Collective

AI technology has drastically changed the mobile gaming sector. It has significantly improved the user experience and made it easier for developers to monetize their games. Analytics Vidhya has a great post on how AI is improving game development.

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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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Everything You Need to Know About MLOps: A KDnuggets Tech Brief

KDnuggets

KDnuggets' first Tech Brief is now available, and it outlines everything you need to know about MLOps.

IT 112
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How to implement the General Data Protection Regulation (GDPR)

IBM Big Data Hub

The General Data Protection Regulation (GDPR), the European Union’s landmark data privacy law, took effect in 2018. Yet many organizations still struggle to meet compliance requirements, and EU data protection authorities do not hesitate to hand out penalties. Even the world’s biggest businesses are not free from GDPR woes. Irish regulators hit Meta with a EUR 1.2 billion fine in 2023.

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3 Inspirational Stories of Leaders in AI

KDnuggets

Every leader has their origin story, and here are some that might inspire you.

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Making your AI work with Data Observability: Trends in 2024 and beyond

Jen Stirrup

Artificial Intelligence is essential to help companies stay competitive in the fast-paced digital landscape. To achieve AI ambitions, organizations need data and a cyber-resilient data platform to support them, and this will mean a growing need for data observability. As organizations become increasingly data-driven toward achieving AI ambitions, they recognize the need to ensure data accuracy, reliability, and quality.

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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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The Basics of Executing Anomaly Detection at Scale

Dataiku

Anomaly detection is all about finding patterns of interest (outliers, exceptions, peculiarities, etc.) that deviate from expected behavior within dataset(s). Given this definition, it’s worth noting that anomaly detection is, therefore, very similar to noise removal and novelty detection. Though patterns detected with anomaly detection are actually of interest, noise detection can be slightly different because the sole purpose of detection is removing those anomalies — or noise — from data.

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How Banks Can Boost Cross-Selling: The Ultimate Guide

ScienceSoft

We explore how a central CRM system, mobile banking app and analytics software can help banks to succeed in cross-selling.

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30+ MCQs on Python Abstraction and Encapsulation

Analytics Vidhya

Welcome to the Python Abstraction and Encapsulation MCQs! Abstraction and encapsulation are fundamental concepts in object-oriented programming (OOP) that promote code organization, reusability, and security. Abstraction involves hiding unnecessary details and showing only essential features of an object, while encapsulation involves bundling the data and methods that operate on the data into a single unit. […] The post 30+ MCQs on Python Abstraction and Encapsulation appeared first on Ana

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What is Data Mapping?

Jet Global

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and qua

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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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Top 10 Reasons to Acquire a Product Information Management Solution (PIM or PXM)

Jet Global

Implementing a PIM or PXM* solution will bring numerous benefits to your organization, in terms of improving efficiency, increasing sales and conversions, reducing returns, and promoting customer loyalty through more accurate, more complete, and more engaging product content. Here we explore these benefits in more detail. 1. A Centralized Hub for Data Data silos are the number one inhibitor to commerce success regardless of your business model.