Fri.Feb 16, 2024

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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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7 Steps to Mastering Exploratory Data Analysis

KDnuggets

A Step-by-Step Approach to Unearthing Trends, Outliers, and Insights in your Data.

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Google Introduces Gemini 1.5: The Next Evolution in AI Models

Analytics Vidhya

Google continues its stride in AI development with the introduction of Gemini 1.5, the latest iteration in its Gemini family of GenAI models. Following closely on the heels of Gemini 1.0, launched just a few months ago, this new model promises significant enhancements in performance, efficiency, and capabilities. Let’s delve deeper into what Gemini 1.5 […] The post Google Introduces Gemini 1.5: The Next Evolution in AI Models appeared first on Analytics Vidhya.

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Master The Art Of Command Line With This GitHub Repository

KDnuggets

Whether you are a beginner or an experienced user, this guide is perfect for familiarizing yourself with basic and advanced command line tools.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Getter and Setter in Python

Analytics Vidhya

Introduction Getters and setters are essential to object-oriented programming (OOP) in Python. They provide a way to encapsulate data and control access to it. In this article, we will explore what getters and setters are, their benefits, and how to implement them in Python. We will also discuss best practices, provide examples, compare them with […] The post Getter and Setter in Python 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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How strategic partnerships are the key to AI-driven innovation

CIO Business Intelligence

“Innovate or die,” Peter Drucker’s 1985 exhortation on the importance of constant reinvention, was great business advice for the last 40 or so years. But things have gotten a little more complicated now, as the large-scale roll-out of generative artificial intelligence (GenAI) has introduced the need for a multidisciplinary approach to innovation. Today, it is not enough just to innovate within one’s own vertical; to truly exploit the power of GenAI to transform workflows and drive competitive a

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Top 6 Synthesia AI Alternatives in 2024

Analytics Vidhya

As we step into 2024, the landscape of AI video creation tools is evolving rapidly. Synthesia AI has been a game-changer, but there are several other alternatives that are worth exploring. In this blog, we will delve into the top 6 Synthesia AI alternatives that are set to redefine the AI video creation space in […] The post Top 6 Synthesia AI Alternatives in 2024 appeared first on Analytics Vidhya.

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The generative AI revolution is transforming how banks work

CIO Business Intelligence

The generative AI revolution has the power to transform how banks operate. Banks are increasingly turning to AI to assist with a wide range of tasks, from customer onboarding to fraud detection and risk regulation. For generative AI to be truly effective it must have access to the right data, but banks are almost unique in their complexity when it comes to how their data is siloed on legacy systems.

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Enhance data security and governance for Amazon Redshift Spectrum with VPC endpoints

AWS Big Data

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3). Furthermore, they are adopting security models that require access to the data lake through their private networks.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Unleashing the power of banks’ data with generative AI

CIO Business Intelligence

The implications of generative AI on business and society are widely documented, but the banking sector faces a set of unique opportunities and challenges when it comes to adoption. Avanade’s latest research found that bankers view automation and efficiency as the biggest benefits of generative AI – with AI having the potential to fundamentally change customer onboarding and fraud detection, as well as automate regulation and compliance requests.

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Are SQL & LLMs a Marriage Made in Heaven?

Dataiku

Structured Query Language (SQL) has long been the standard for managing and querying relational databases, providing a powerful toolset for extracting insights from structured data. Large Language Models (LLMs), though, have been the talk of the town for over a year now and represent a breakthrough in natural language processing (NLP), enabling machines to understand and generate human-like text with remarkable accuracy and fluency.

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ADP’s cloud transformation pays dividends

CIO Business Intelligence

For most organizations, a shift to the cloud brings scalability, access to innovative tools, and the possibility of cost savings. For payroll services company ADP, it has paved the way to becoming a SaaS provider capable of taking on big names in enterprise software. An early partner of Amazon, the Roseburg, N.J.-based company migrated to AWS in lockstep with Amazon’s earliest code releases a decade ago, even as the $18 billion payroll giant continued to build a hybrid cloud infrastructure that

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Reducing defects and downtime with AI-enabled automated inspections

IBM Big Data Hub

A large, multinational automobile manufacturer responsible for producing millions of vehicles annually, engaged with IBM to streamline their manufacturing processes with seamless, automated inspections driven by real-time data and artificial intelligence (AI). As an automobile manufacturer, our client has an inherent duty to provide high-quality products.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Why Tomago Aluminium reversed course on its cloud journey

CIO Business Intelligence

Tomago Aluminium is an industry giant in the Asia-Pacific region, and as IT superintendent, Dennis Moncrieff is responsible for leveraging the right technologies to make the process of producing aluminum more efficient. When talking about the organization’s digital transformation journey, he describes it as a constant. “Sure, digital transformation is a buzzword that’s been bouncing around for a long time,” he says, “but digitizing your processes remains important because no modern business can

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Customer service vs customer experience: Key differentiators

IBM Big Data Hub

In many organizations, but not all, customer service is treated as part of the customer experience. Both are interested in driving customer satisfaction, but they focus on different parts of the customer journey to achieve it. So what are the key differences in customer service vs. customer experience? And why do both matter for your business? Customer experience , or CX, is a holistic accounting of customers’ perceptions resulting from all their interactions with a business or brand, whet

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Shaver Battle: Philips Norelco 3800 vs Braun Series 3

Data Science 101

Which is better? The Braun Series 3 and Philips Norelco 3800 are put to the test in this video. See why the Philips Norelco 3800 comes out on top. For more details on the Philips Norelco 3800, see the The Complete 3800 Review. Purchase on Amazon Philips Norelco 3800 One of my favorite budget shavers. You cannot go wrong with this one. Buy at Amazon As an Amazon Associate I earn from qualifying purchases.

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What are Breach and Attack Simulations?

IBM Big Data Hub

Breach and Attack Simulation (BAS) is an automated and continuous software-based approach to offensive security. Similar to other forms of security validation such as red teaming and penetration testing , BAS complements more traditional security tools by simulating cyberattacks to test security controls and provide actionable insights. Like a red team exercise, breach and attack simulations use the real-world attack tactics, techniques, and procedures (TTPs) employed by hackers to proactively i

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Data Cleansing Solutions from InsightOut

InsightOut

In today's data-driven world, mid-sized companies are increasingly recognizing the pivotal role that clean, accurate, and organized data plays in driving strategic decisions, enhancing operational efficiency, and fostering growth. However, managing vast volumes of data, identifying inaccuracies, and ensuring data quality can be daunting tasks for these organizations.

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The three Cs of indie consulting: Confidence, Cash, and Connections

Data Science and Beyond

Jonathan Stark makes a compelling argument why you should have the three Cs before quitting your job to go solo consulting.

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Elevating Mid-Sized Companies with Data Cleansing Solutions from InsightOut

InsightOut

In today's data-driven world, mid-sized companies are increasingly recognizing the pivotal role that clean, accurate, and organized data plays in driving strategic decisions, enhancing operational efficiency, and fostering growth. However, managing vast volumes of data, identifying inaccuracies, and ensuring data quality can be daunting tasks for these organizations.

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Follow Me for Shaver Content

Data Science 101

If you are looking for a new electric shaver, you should probably follow me. If not, don’t worry about it. Actually, you can follow too because you might need one some day or maybe you know someone who will. But, whatever, it’s up to you. If you are really interested, you can even sign up for the email list. Please leave this field empty Shaver Dude Newsletter Every other week news on the latest shaver content.

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.