Sat.Feb 17, 2024 - Fri.Feb 23, 2024

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New-Gen Text-to-Video Tool: Sora by OpenAI

Analytics Vidhya

Introduction The ongoing evolution of AI-driven video creation technology continues. Its undeniable impact is reshaping and democratizing the entire video production landscape, representing a significant leap in AI’s role in video creation. But have you ever thought one could create an HD video just by writing a prompt? With the advancements in artificial intelligence, particularly […] The post New-Gen Text-to-Video Tool: Sora by OpenAI appeared first on Analytics Vidhya.

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The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams

DataKitchen

The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams Welcome, dear readers, to the hallowed halls of Data Buck-Passing University, where the motto is “ Per Alios Culpa Transfertur ” (Blame is Transferred to Others). In the world of data and analytics, one skill stands timeless and universal: the art of blaming someone else when things go sideways.

Analytics 190
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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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Look Out: Computer Vision in AI is Coming Into Sight

David Menninger's Analyst Perspectives

Unstructured data has been a significant factor in data lakes and analytics for some time. Twelve years ago, nearly a third of enterprises were working with large amounts of unstructured data. As I’ve pointed out previously , unstructured data is really a misnomer. The data is structured; it's just not structured into rows and columns that fit neatly into a relational table like much of the other information enterprises process.

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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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IT leaders turn to HBCUs for future IT talent

CIO Business Intelligence

Officials at the North Carolina Department of Information Technology found themselves in a position familiar to most IT organizations: aware of the need to do more to attract IT workers given that they — like most employers — faced fierce competition for talent. They also believed they needed to take more responsibility for increasing the diversity of workers in their IT ranks.

IT 137
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Python in Finance: Real Time Data Streaming within Jupyter Notebook

KDnuggets

Learn a modern approach to stream real-time data in Jupyter Notebook. This guide covers dynamic visualizations, a Python for quant finance use case, and Bollinger Bands analysis with live data.

Finance 124

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The Role of Artificial Intelligence in Enhancing Data Security

Smart Data Collective

The power of Artificial Intelligence (AI) has been proven unmatched in recent years. It is no longer a subject of our imagination. AI has become a reality, and it is becoming clearer by the day that it can change the world for the better. But can artificial intelligence help us in enhancing data security?

IT 92
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Operationalizing responsible AI principles for defense

IBM Big Data Hub

Artificial intelligence (AI) is transforming society, including the very character of national security. Recognizing this, the Department of Defense (DoD) launched the Joint Artificial Intelligence Center (JAIC) in 2019, the predecessor to the Chief Digital and Artificial Intelligence Office (CDAO), to develop AI solutions that build competitive military advantage, conditions for human-centric AI adoption, and the agility of DoD operations.

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Why Low-Code No-Code is Important for BI Tools!

Smarten

Consider the Benefits of Low Code No Code for Augmented Analytics! Low code/no code (LCNC) application development is regarded as an innovative step in the future of software development. With its reusable components, drag-and-drop features, visual creation process, and emphasis on digital democracy, opting for low code/no code application development becomes essential.

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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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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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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

Testing 120
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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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A Roadmap For Your Data Career

KDnuggets

As you design your career in data, you’ve got to avoid getting stuck in your comfort zone or allowing your manager or current situation to determine your path.

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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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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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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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Higher-ed CIOs embrace academia’s AI challenges

CIO Business Intelligence

CIOs on university campuses across the country have an obligation, as technology leaders, to provide the tools and expertise that staff, administration, and professors require to help fulfill the potential of students, and the university itself. But their commitment is becoming more demanding and complex as AI, in its many applications, rises to the top of the syllabus.

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Prompt Engineering: An Integrated Dream

KDnuggets

Clickbait headlines like "AI's Hottest Job" have promised a career that anyone who knows how to chat with AI could pay a six-figure salary with no computer background. But is this reality, or just another internet pipe dream? Let's ditch the sensationalism and delve into the actual job market data to find out.

Marketing 115
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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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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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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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Google integrates Gemini AI into enterprise tools

CIO Business Intelligence

Tech major Google has announced that it is replacing Duet AI for Google Workspace with Gemini for Google Workspace as it attempts to offer an alternative to ChatGPT Enterprise. Duet AI for Workspace offered AI integration with Google’s popular applications like Docs and Gmail. The company also announced the launch of two plans, Gemini Business, and Gemini Enterprise, to help businesses of all sizes leverage AI for growth.

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Navigating the Data Revolution: Exploring the Booming Trends in Data Science and Machine Learning

KDnuggets

Dive into transformative trends in data science, encompassing AI-powered automation, NLP, ethical considerations, decentralized computing, and interdisciplinary collaboration.

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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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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Data Recovery Services Are Crucial in the Big Data Era

Smart Data Collective

In a world increasingly reliant on data analytics for decision-making and strategic planning, the importance of data recovery cannot be overstated. Data loss or corruption can have severe consequences, disrupting business operations, compromising valuable insights, and potentially leading to financial losses or reputational damage.

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Build trust to win out with genAI

CIO Business Intelligence

Over the past 12 months, generative AI has generated fervor and fear in almost equal measure. We’ve all marveled at the tech’s ability to pass bar exams or create award winning photography. But that level of ingenuity is deeply unsettling for many consumers, who perhaps prefer to know that the humans are still at the wheel. This presents a conundrum for many of today’s business leaders.

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7 Free Kaggle Micro-Courses for Data Science Beginners

KDnuggets

Interested in learning data science? Check out these free micro-courses from Kaggle to learn essential data science skills.

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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 306
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Generative AI: Should We Build or Buy LLM-Powered Platforms?

Smart Data Collective

Manpower, budget, and time!! AI technology has been invaluable to businesses in all sectors. Over the past year, AI has become even more impactful. According to Exploring Topics, over 250 million businesses around the world are using AI. One of the ways they are taking advantage of it is with generative AI technology.

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4 hidden risks of your enterprise cloud strategy

CIO Business Intelligence

As enterprise CIOs seek to find the ideal balance between the cloud and on-prem for their IT workloads, they may find themselves dealing with surprises they did not anticipate — ones where the promise of the cloud, and cloud vendors, fall short versus the realities of enterprise IT. While cloud risk analysis should be no different than any other third-party risk analysis, many enterprises treat the cloud more gently, taking a less thorough approach.

Risk 130
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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 125
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Building End-to-End Generative AI Models with AWS Bedrock

Analytics Vidhya

Introduction In the past, Generative AI has captured the market, and as a result, we now have various models with different applications. The evaluation of Gen AI began with the Transformer architecture, and this strategy has since been adopted in other fields. Let’s take an example. As we know, we are currently using the VIT […] The post Building End-to-End Generative AI Models with AWS Bedrock appeared first on Analytics Vidhya.

Modeling 303
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.