Analytics Vidhya

FEBRUARY 16, 2024

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

Interactive 313

Interactive Modeling Analytics IT 313

CIO Business Intelligence

FEBRUARY 16, 2024

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.

Manufacturing 142

Manufacturing Software Sales Reporting 142

Analytics Vidhya

FEBRUARY 16, 2024

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.

Modeling 306

Modeling Analytics IT Technology 306

CIO Business Intelligence

FEBRUARY 16, 2024

“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

Strategy 138

Strategy Insurance Digital Transformation Enterprise 138

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.

Management

Analytics Vidhya

FEBRUARY 16, 2024

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.

Analytics 305

Analytics IT 305

CIO Business Intelligence

FEBRUARY 16, 2024

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.

Interactive 132

Interactive Risk Modeling Reporting 132

CIO Business Intelligence

FEBRUARY 16, 2024

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.

Machine Learning 122

Machine Learning Reporting Risk Modeling 122

Analytics Vidhya

FEBRUARY 16, 2024

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.

Analytics 295

Analytics 295

CIO Business Intelligence

FEBRUARY 16, 2024

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

Digital Transformation 116

Digital Transformation Experimentation Cost-Benefit Machine Learning 116

KDnuggets

FEBRUARY 16, 2024

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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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?

Analytics

CIO Business Intelligence

FEBRUARY 16, 2024

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

IT 116

IT Digital Transformation Data Architecture Management 116

IBM Big Data Hub

FEBRUARY 16, 2024

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.

Manufacturing 105

Manufacturing Visualization Data-driven Measurement 105

AWS Big Data

FEBRUARY 16, 2024

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.

Data Lake 93

Data Lake Data Warehouse Testing Business Objectives 93

IBM Big Data Hub

FEBRUARY 16, 2024

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

Metrics 100

Metrics Interactive Consulting Sales 100

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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.

Visualization

Dataiku

FEBRUARY 16, 2024

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.

Structured Data 93

Structured Data Modeling Management 93

KDnuggets

FEBRUARY 16, 2024

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

Data Science 126

Data Science 126

IBM Big Data Hub

FEBRUARY 16, 2024

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

Testing 84

Testing IoT Reporting Data-driven 84

Data Science 101

FEBRUARY 16, 2024

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.

Testing 59

Testing IT 59

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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.

Analytics

InsightOut

FEBRUARY 16, 2024

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.

Data Quality 52

Data Quality Data-driven Data Governance Measurement 52

Data Science and Beyond

FEBRUARY 16, 2024

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

Consulting 52

Consulting 52

InsightOut

FEBRUARY 16, 2024

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.

Data Quality 52

Data Quality Data-driven Data Governance Measurement 52

Data Science 101

FEBRUARY 16, 2024

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.

IT 45

IT 45

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.

Management