February, 2024

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Semantic Layers are the Missing Piece for AI-Enabled Analytics

KDnuggets

Integrating a semantic layer with Language Learning Models (LLMs) presents a clean solution to this, particularly in the realm of AI chatbots. This combination empowers businesses to generate fast responses and reports based on their data. Leveraging AI and semantic layers is advancing business intelligence, making it easier than ever for people to interact with data.

Analytics 124
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LinkedIn’s New AI Chatbot Wants to Help You Find a Job

Analytics Vidhya

LinkedIn, the professional networking platform, is harnessing the power of artificial intelligence (AI) to redefine the job search experience and streamline networking efforts. With new AI-powered features, LinkedIn aims to offer personalized assistance to users navigating the competitive job market and seeking to expand their professional connections.

Marketing 385
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CIOs rethink all-in cloud strategies

CIO Business Intelligence

After years of marching to the cloud migration drumbeat, CIOs are increasingly becoming circumspect about the cloud-first mantra, catching on to the need to turn some workloads away from the public cloud to platforms where they will run more productively, more efficiently, and cheaper. “‘Cloud exit’ became a big theme in 2023 and there’s good odds it’ll turn into a real trend for 2024.

Strategy 144
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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

Financial services customers are using data from different sources that originate at different frequencies, which includes real time, batch, and archived datasets. Additionally, they need streaming architectures to handle growing trade volumes, market volatility, and regulatory demands. The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Remember how cool it felt when you first held a smartphone in your hand? The compact design and touch-based interactivity seemed like a leap into the future. Before long, smartphones became a way of life for organizations worldwide because of all they offer for business productivity and communication. Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating.

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7 Reasons Dataiku Is the Trusted Source for Modern Analytics

Dataiku

In my prior post , I shared the seven reasons analytics and IT leaders should upgrade to a modern, cloud-native analytics platform. In short, the world has changed, and teams must collaborate and take advantage of the latest cloud and AI technology in a safe and governed environment to create production projects that will generate value for their business.

Analytics 112

More Trending

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Microsoft Reveals How Hackers Are Using GenAI Tools

Analytics Vidhya

Microsoft, in collaboration with OpenAI, has revealed a concerning trend in the realm of cybersecurity: the utilization of generative artificial intelligence (GenAI) by hostile states for offensive cyber operations. Highlighting the involvement of countries such as Iran, North Korea, Russia, and China, Microsoft sheds light on the evolving landscape of cyber warfare.

Analytics 376
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Prioritizing AI? Don’t shortchange IT fundamentals

CIO Business Intelligence

Generative AI continues to dominate IT projects for many organizations, with two thirds of business leaders telling a Harris Poll they’ve already deployed generative AI tools internally, and IDC predicting spend on gen AI will more than double in 2024. But the usual laundry list of priorities for IT hasn’t gone away. Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with.

IT 143
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Climate Change investment needs more than hot air from politicians

Jen Stirrup

Like many people, I care about the environment and the climate crisis. At the time of writing, the UK Labour Party is expected to announce that it would no longer spend £28bn a year on environmental projects if it won the upcoming general election. They are still talking about a £28bn figure, but are moving towards this figure coming from private investment but have no clear plan on how to obtain it.

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Climate change predictions: Anticipating and adapting to a warming world

IBM Big Data Hub

In an era of accelerating climate change , predicting the near-future can yield major benefits. For instance, when utility officials are aware that a heat wave is on its way, they can plan energy procurement to prevent power outages. When farmers in drought-prone regions are able to predict which crops are susceptible to failure , they can deploy additional irrigation.

Modeling 119
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Documenting Critical Data Elements

TDAN

Many Data Governance or Data Quality programs focus on “critical data elements,” but what are they and what are some key features to document for them? A critical data element is any data element in your organization that has a high impact on your organization’s ability to execute its business strategy.

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Collection of Free Courses to Learn Data Science, Data Engineering, Machine Learning, MLOps, and LLMOps

KDnuggets

Begin your data professional journey from the basics of statistics to building a production-grade AI application.

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Top Data Science Specializations for 2024

Analytics Vidhya

Introduction Data Science is everywhere in the 21st century and has emerged as an innovative field. But what exactly is Data Science? And why should one consider specializing in it? This blog post aims to answer these questions and more. Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to […] The post Top Data Science Specializations for 2024 appeared first on Analytics Vidhya.

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SAP names Philipp Herzig as chief artificial intelligence officer

CIO Business Intelligence

SAP is reorganizing its AI activities. Philipp Herzig, formerly head of cross-product engineering and experience, now leads a new “end-to-end growth area” focused on AI as the company’s chief artificial intelligence officer (CAIO). Herzig now reports directly to CEO Christian Klein, and will oversee the entire value chain for SAP business AI from research and product development through to implementation at the customer.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Simplify data streaming ingestion for analytics using Amazon MSK and Amazon Redshift

AWS Big Data

Towards the end of 2022, AWS announced the general availability of real-time streaming ingestion to Amazon Redshift for Amazon Kinesis Data Streams and Amazon Managed Streaming for Apache Kafka (Amazon MSK) , eliminating the need to stage streaming data in Amazon Simple Storage Service (Amazon S3) before ingesting it into Amazon Redshift. Streaming ingestion from Amazon MSK into Amazon Redshift, represents a cutting-edge approach to real-time data processing and analysis.

Analytics 109
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How Meta’s Llama 3 will impact the future of AI

IBM Big Data Hub

In January of 2024, Meta CEO Mark Zuckerberg announced in an Instagram video that Meta AI had recently begun training Llama 3. This latest generation of the LLaMa family of large language models (LLMs) follows the Llama 1 models (originally stylized as “LLaMA”) released in February 2023 and Llama 2 models released in July. Though specific details (like model sizes or multimodal capabilities) have not yet been announced, Zuckerberg indicated Meta’s intent to continue to open sou

Modeling 123
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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 335
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Understanding the Python Global Interpreter Lock (GIL)

Analytics Vidhya

Introduction Python is a popular programming language known for its simplicity and versatility. However, it has a unique feature called the Global Interpreter Lock (GIL) that sets it apart from other languages. In this article, we will delve into the details of the GIL, its purpose, and its impact on Python’s performance. What is the […] The post Understanding the Python Global Interpreter Lock (GIL) appeared first on Analytics Vidhya.

Analytics 331
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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30+ MCQs on Python Error Handling (try-except)

Analytics Vidhya

Welcome to the Python Error Handling MCQ Quiz! Error handling is an essential aspect of programming, and Python provides powerful mechanisms to manage exceptions and errors that may occur during program execution. This quiz aims to test your understanding of various concepts related to error handling in Python, including try and except blocks, raising and […] The post 30+ MCQs on Python Error Handling (try-except) appeared first on Analytics Vidhya.

Testing 329
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How Blackbox AI Can Solve All Your Coding Problems

Analytics Vidhya

Introduction Stuck on a coding problem? Need a fresh perspective on your project? Blackbox.ai is your new AI-powered coding assistant, ready to supercharge your development workflow. Whether you’re seeking code suggestions in real-time, want to chat about complex concepts, or require assistance writing entire sections, Blackbox has you covered.

Analytics 323
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Stability AI Introduces Stable Diffusion 3: Next-Gen Advancements in AI Imagery

Analytics Vidhya

Stability AI has announced the arrival of Stable Diffusion 3, the latest advancement in AI imagery technology. This new model promises significant improvements in text-to-image generation, boasting enhanced performance and quality. As the anticipation builds around Stable Diffusion 3, let’s delve into the key features and advancements of this innovative AI model.

Modeling 319
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How to Use Gemma LLM?

Analytics Vidhya

Introduction Large language models (LLMs) are increasingly becoming powerful tools for understanding and generating human language. These models have achieved state-of-the-art results on different natural language processing tasks, including text summarization, machine translation, question answering, and dialogue generation. LLMs have even shown promise in more specialized domains, like healthcare, finance, and law.

Finance 315
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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Microsoft Invests in Mistral AI to Launch GPT-4 Rival

Analytics Vidhya

In a significant move within the AI industry, Microsoft has forged a strategic partnership with Mistral AI, to revolutionize generative artificial intelligence. The first outcome of their partnership is Mistral Large, a language model proven to be as good as OpenAI’s GPT-4. This partnership signals a paradigm shift in the landscape of AI innovation.

Modeling 315
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Everything You Need to Know About Boxplot

Analytics Vidhya

Introduction In the world of data analysis and statistics, visualizations play a crucial role in understanding the underlying patterns and outliers within datasets. One such powerful visualization tool is the boxplot, a box-and-whisker plot. It summarises one or more data sets based on the five-number summary: minimum, first quartile (Q1), median, third quartile (Q3), and […] The post Everything You Need to Know About Boxplot appeared first on Analytics Vidhya.

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A-Z About Python Arrays

Analytics Vidhya

Introduction Arrays in Python are data structures that can hold multiple values of the same data type. They provide a way to store and manipulate collections of data efficiently. In this article, we will explore how to work with arrays in Python, including creating arrays, accessing and manipulating array elements, performing array operations, working with […] The post A-Z About Python Arrays appeared first on Analytics Vidhya.

Analytics 313
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30+ Multiple Choice Questions on Python Syntax and Semantics

Analytics Vidhya

Welcome to our Python Syntax and Semantics quiz! Python is a versatile programming language known for its simplicity and readability. Understanding its syntax and semantics is essential for writing efficient and error-free code. This quiz will test your knowledge of Python’s fundamental concepts, including variables, data types, control structures, and functions.

Testing 323
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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Shop Better on Amazon with AI

Analytics Vidhya

In a move to redefine online shopping, Amazon has introduced Rufus, its latest AI-powered shopping assistant. Rufus is designed to elevate the user experience by offering personalized and conversational interactions, marking a strategic evolution in the e-commerce giant’s approach. As AI increasingly becomes integral to various products and services, Amazon aims to revolutionize the way […] The post Shop Better on Amazon with AI appeared first on Analytics Vidhya.

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Google Issues High-Risk Privacy Alert for Android and iPhone Users

Analytics Vidhya

As smartphones have become indispensable in our daily lives, concerns about privacy and security risks associated with their usage have intensified. Recently, Google has issued a privacy warning for both Android and iPhone users, shedding light on potential vulnerabilities linked to the utilization of Artificial Intelligence (AI) in smartphone applications.

Risk 317
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Boost Organic Traffic with Surfer SEO Tool

Analytics Vidhya

Introduction Are you tired of doing regular SEO and couldn’t get the result you were anticipating? If yes, then you are on the right path of learning. If you ask me what process a company should adopt for a profitable and scalable SEO, I would suggest – Planning with keywords, writing with a good content […] The post Boost Organic Traffic with Surfer SEO Tool appeared first on Analytics Vidhya.

Analytics 312
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Meta’s V-JEPA: Revolutionizing Video Understanding in AI

Analytics Vidhya

Meta continues its stride towards human-like machine intelligence with the release of the Video Joint Embedding Predictive Architecture (V-JEPA) model. This innovative step aims to enhance machines’ comprehension of the world by analyzing intricate interactions within videos. Moreover, it aligns with the vision of Meta’s VP & Chief AI Scientist, Yann LeCun, to develop advanced […] The post Meta’s V-JEPA: Revolutionizing Video Understanding in AI appeared first on Anal

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.