Thu.Nov 16, 2023

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OpenAI Gears Up for GPT-5 Development with Microsoft’s Backing

Analytics Vidhya

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 321
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5 ways to deploy your own large language model

CIO Business Intelligence

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
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A Comprehensive Guide to Train-Test-Validation Split in 2023

Analytics Vidhya

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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ServiceNow adds gen AI to more workflows, including chatbot creation

CIO Business Intelligence

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.

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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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OpenAI Faces Surge in Demand: Pauses ChatGPT Plus Sign-ups

Analytics Vidhya

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 303
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The Hartford CIO Deepa Soni on transforming at scale

CIO Business Intelligence

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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Use generative AI with Amazon EMR, Amazon Bedrock, and English SDK for Apache Spark to unlock insights

AWS Big Data

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 101
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Master Data Science with the 3rd Best Online Program

KDnuggets

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

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Power enterprise-grade Data Vaults with Amazon Redshift – Part 1

AWS Big Data

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.

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6 Problems of LLMs That LangChain is Trying to Assess

KDnuggets

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

Modeling 109
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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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Power enterprise-grade Data Vaults with Amazon Redshift – Part 2

AWS Big Data

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.

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7 Essential Data Quality Checks with Pandas

KDnuggets

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

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Tips for Winning the AI Talent Staffing Game

Dataiku

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.

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SHACL-ing the Data Quality Dragon II: Application, Application, Application!

Ontotext

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.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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DSPM brings the CSPM concept closer to where it belongs; the business

Laminar Security

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.

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insightsoftware Named No. 1 Fastest Growing Company on Business North Carolina’s Mid-Market Fast 40 List

Jet Global

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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A Guide on How to Leverage DSPM with Your Security Stack and Enhance Data Security Posture

Laminar Security

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).

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What is Data Mesh?

Ontotext

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.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Decentralize LF-tag management with AWS Lake Formation

AWS Big Data

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

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Creating a sustainable future with the experts of today and tomorrow

IBM Big Data Hub

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.