Analytics Vidhya

NOVEMBER 16, 2023

In a daring move signalling the next AI frontier, OpenAI’s CEO Sam Altman hints at developing GPT-5, the successor to the wildly popular ChatGPT. This initiative, possibly backed by Microsoft’s financial support, is poised to redefine AI boundaries and achieving AGI. The Evolution of Generative AI OpenAI, a leading AI research lab, has led generative […] The post OpenAI Gears Up for GPT-5 Development with Microsoft’s Backing appeared first on Analytics Vidhya.

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Analytics Technology 322

CIO Business Intelligence

NOVEMBER 16, 2023

It’s the fastest-moving new technology in history. Generative AI is transforming the world, changing the way we create images and videos, audio, text, and code. According to a September survey of IT decision makers by Dell, 76% say gen AI will have a “significant if not transformative” impact on their organizations, and most expect to see meaningful results within the next 12 months.

Modeling 139

Modeling Enterprise Marketing Sales 139

Analytics Vidhya

NOVEMBER 16, 2023

Introduction A goal of supervised learning is to build a model that performs well on a set of new data. The problem is that you may not have new data, but you can still experience this with a procedure like train-test-validation split. Isn’t it interesting to see how your model performs on a data set? […] The post A Comprehensive Guide to Train-Test-Validation Split in 2023 appeared first on Analytics Vidhya.

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Testing Modeling Analytics IT 322

CIO Business Intelligence

NOVEMBER 16, 2023

Deepa Soni’s CIO story is one of sacrifice, breaking through comfort zones, and building confidence in redefining the art of the possible. In a career spanning such companies as IBM, KeyCorp, M&T Bank, and BMO, she has “answered the call” many times, most recently as CIO of The Hartford, where she is responsible for the overall strategy, vision, and execution of business technology, cyber, data analytics, and data science.

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Insurance Enterprise Risk Digital Transformation 128

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

NOVEMBER 16, 2023

OpenAI, a pioneer in artificial intelligence, grapples with an overwhelming surge in demand, prompting a temporary suspension of new subscriptions for its premium ChatGPT Plus service. CEO Sam Altman, addressing the surge in usage following DevDay, acknowledges capacity challenges and emphasises a commitment to ensuring an impeccable user experience.

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Analytics IT 312

KDnuggets

NOVEMBER 16, 2023

Integrating AI-powered pair programming tools for data analytics in Databricks optimizes and streamlines the development process, freeing up developer time for innovation.

Optimization 111

Optimization Data Analytics Analytics Data Science 111

KDnuggets

NOVEMBER 16, 2023

Go beyond business analytics with Bay Path University's Flexible MS in Applied Data Science. Enrolling now for March.

Data Science 119

Data Science Business Analytics Analytics 119

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x better price-performance than any other cloud data warehouses.

Enterprise 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

KDnuggets

NOVEMBER 16, 2023

Learn how LangChain is changing the game by enhancing the use of advanced language models in technological developments.

Modeling 109

Modeling Technology 109

Dataiku

NOVEMBER 16, 2023

In today's rapidly evolving technological landscape, the demand for AI talent has reached unprecedented levels which far exceeds the current supply. This gap has led to a shortage of qualified professionals and significant challenges in recruiting and retaining top AI talent. But that’s not all … These obstacles have become more prominent with the rise of Generative AI as businesses across various industries seek to harness the power of AI — which isn’t possible without the right AI talent.

Technology 72

Technology 72

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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

KDnuggets

NOVEMBER 16, 2023

Learn how to perform data quality checks using pandas. From detecting missing records to outliers, inconsistent data entry and more.

Data Quality 99

Data Quality Data Science 99

Ontotext

NOVEMBER 16, 2023

Immanuel Kant’s quotation “Theory without practice is empty” is especially relevant in applied sciences such as computing. In the first part of this series of technological posts, we talked about what SHACL is and how you can set up validation for your data. Now, we are diving into the more exciting part — actually putting the theory into practice and seeing the fruits of our labors in a validation report.

Data Quality 69

Data Quality Reporting Testing Technology 69

Laminar Security

NOVEMBER 16, 2023

The way we build applications and the infrastructure supporting them has evolved over time, as we adopted cloud native services in pursuit of efficiency, flexibility, and time to market. The end result is that most IT organizations are now supporting many environments across on-premises, edge, different public clouds, and SaaS. The end result is that the data you hold, or don’t hold as it turns out, is spread far and wide across these many systems.

IT 64

IT Risk Data Processing Management 64

Jet Global

NOVEMBER 16, 2023

Prestigious list recognizes insightsoftware’s hyper-growth as the company expands its comprehensive product suite to meet nearly every financial analytics and reporting requirement RALEIGH, N.C. – Nov. 15, 2023 – insightsoftware , a global provider of reporting, analytics, and performance management solutions, secured the number one ranking on Business North Carolina’s Mid-Market Fast 40 List.

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Marketing Finance Reporting Risk 59

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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

Laminar Security

NOVEMBER 16, 2023

The proliferation of cloud-based computing has allowed organizations to innovate at an unprecedented pace. It’s also created a sharp rise in cloud data, and along with that, the challenge of protecting this data from malicious elements that live online, such as data breaches , misuse, violation, and leakage to a business. Increasingly, businesses are turning to what Gartner has termed Data Security Posture Management (DSPM).

Risk 59

Risk Cost-Benefit Dashboards Management 59

Ontotext

NOVEMBER 16, 2023

Data mesh is still in its infancy, and data personas and organizations are craving clarity and specificity. It is critical to be aware of the “why” and “what” and fully understand the role that knowledge graphs play when considering adopting a data mesh strategy. The debate on what constitutes a data mesh rages on. Most agree that it is not a platform or a commercial off-the-shelf product and that it should make data more accessible, secure, discoverable, and interoperable.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

CIO Business Intelligence

NOVEMBER 16, 2023

ServiceNow is rolling out another wave of generative AI additions to facilitate workflow management on its Now Platform. The update adds gen AI capabilities for field service workers, chatbot creators, and developers, among others. In September the Vancouver release of Now Platform added Now Assist for ITSM, Customer Service Management, and HR Service Delivery — but one of the company’s biggest workflows, field service management (FSM), was missing from the list.

Testing 132

Testing Visualization Enterprise Management 132

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x better price-performance than other cloud data warehouses.

Enterprise 81

Enterprise Data Warehouse Data Lake Optimization 81

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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

IBM Big Data Hub

NOVEMBER 16, 2023

When extreme weather strikes, it hits vulnerable populations the hardest. In the current global climate of stronger and more frequent storms, heat waves, droughts and floods, how do we build more positive environmental and social impact? We have a responsibility to apply our technological expertise, resources and ecosystem to help the world become more resilient to these environmental challenges.

Forecasting 84

Forecasting Technology Data-driven Consulting 84

AWS Big Data

NOVEMBER 16, 2023

In today’s data-driven world, organizations face unprecedented challenges in managing and extracting valuable insights from their ever-expanding data ecosystems. As the number of data assets and users grow, the traditional approaches to data management and governance are no longer sufficient. Customers are now building more advanced architectures to decentralize permissions management to allow for individual groups of users to build and manage their own data products, without being slowed down b

Management 107

Management Data Lake Sales Machine Learning 107