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.

Analytics 268

Analytics Technology 268

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 124

Modeling Enterprise Optimization Machine Learning 124

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.

Testing 265

Testing Modeling Analytics Machine Learning 265

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.

Enterprise 118

Enterprise Visualization Management Testing 118

Speaker: Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionzing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs. Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for

Cost-Benefit

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.

Analytics 248

Analytics IT 248

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.

Enterprise 112

Enterprise Insurance Analytics Digital Transformation 112

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.

Data Analytics 94

Data Analytics Optimization Analytics Data Science 94

AWS Big Data

NOVEMBER 16, 2023

In this era of big data, organizations worldwide are constantly searching for innovative ways to extract value and insights from their vast datasets.

Big Data 90

Big Data Machine Learning Technology 90

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 106

Data Science Business Analytics Analytics 106

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 80

Enterprise Data Warehouse Data Lake Metadata 80

Advertiser: Data Robot

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.

Enterprise

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.

Data Analytics 83

Data Analytics Data-driven Forecasting Analytics 83

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 79

Enterprise Data Warehouse Snapshot Data Lake 79

KDnuggets

NOVEMBER 16, 2023

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

Modeling 93

Modeling Technology 93

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 70

Technology 70

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are le

Data Science

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 84

Data Quality Data Science 84

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 67

Data Quality Reporting Technology Testing 67

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 Management Enterprise 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.

Marketing 59

Marketing Analytics Finance Reporting 59

Advertiser: Data Robot

As technology transforms the global business landscape, companies need to examine and update their internal processes for innovation to keep pace. Ultimately, organizations will have to improve the velocity of innovation by creating repeatable processes that support ideation, exploration, and incubation, essential to capturing an idea’s full value.

Reporting

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).

Data-driven 59

Data-driven Risk Dashboards Cost-Benefit 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.

Data-driven 52

Data-driven Metadata Data Architecture Data Quality 52