Wed.May 29, 2024

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Spot the Differences: Data Governance vs. AI Governance

Dataiku

AI Governance and data governance are both crucial for modern organizations, but they serve distinct purposes. Can you tell the difference between them? Understanding these differences is vital, especially with the introduction of the EU AI Act, which requires organizations to rethink their AI management strategies. In this blog post, we’ll explore these distinctions and explain why it's important to differentiate between the two.

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What Future Awaits with Multimodal AI?

Analytics Vidhya

Introduction AI is growing quickly, and multimodal AI is among its best achievements. Unlike traditional AI systems that can only process a single type of data at a time, e.g., text, images, or audio, multimodal AI can simultaneously process multiple input forms. This allows the AI system to understand the input data more comprehensively, leading […] The post What Future Awaits with Multimodal AI?

Analytics 297
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AI, cybersecurity investments and identity take center stage at RSA 2024

CIO Business Intelligence

It was truly a good use of time attending the 33rd RSA Conference in San Francisco, along with over 40,000 attendees, networking with the leading minds in the cybersecurity industry. For many, this spring’s RSA show was an energized, optimistic experience, similar to the pre-pandemic years of 2017-2019. There was a definite buzz about cybersecurity investments and M&A picking up steam, AI-based defense and AI-delivered industry models, and overall product innovation.

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How to Summarize Text with Transformer-based Models?

Analytics Vidhya

Introduction One of the most important tasks in natural language processing is text summarizing, which reduces long texts to brief summaries while maintaining important information. This subject has been transformed by Transformers, which are sophisticated deep learning models that provide unmatched performance in extractive and abstractive summarization techniques.

Modeling 290
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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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Accenture’s cloud migration sets standard for other large businesses

CIO Business Intelligence

Accenture was going through a period most companies would envy. The Dublin-based, global professional services leader had grown significantly organically and inorganically, including expanding into diverse businesses, propelled by $14 billion invested in more than 177 acquisitions in the last five years. As the company grew and expanded into new markets and services, its legacy Enterprise Resource Planning (ERP) system became increasingly complex, costly, and inflexible.

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Finetune and Deploy Custom PaLiGemma Model for your Image Tasks

Analytics Vidhya

Introduction PaLiGemma is an open-source state-of-the-art model released alongside other products at Google I/O 2024 and combines two other models developed by Google. Based on open components like the SigLIP vision model and the Gemma language model, PaliGemma is a flexible and lightweight vision-language model (VLM) that draws inspiration from PaLI-3.

Modeling 291

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Difference Between ANN, CNN and RNN

Analytics Vidhya

Introduction Neural networks are systems designed to mimic the human brain. They consist of interconnected neurons or nodes. These nodes work together to interpret data and find patterns. Many artificial intelligence applications rely on neural networks. It’s important to know about the different types of neural networks because each one has unique strengths and weaknesses. […] The post Difference Between ANN, CNN and RNN appeared first on Analytics Vidhya.

Analytics 266
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SAP AI pact with AWS offers customers more gen AI options

CIO Business Intelligence

SAP is expanding its AI ecosystem with a partnership with AWS. Such AI partnerships are important for SAP, said Chief Technology Officer Jürgen Müller, pointing to other cooperations, for example with IBM, the chip manufacturer Nvidia and various universities. In addition, SAP is also working closely with Microsoft and Google on AI. The cloud hyperscalers AWS, Google and Microsoft are also important platform partners to operate SAP’s cloud applications.

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Simplify data lake access control for your enterprise users with trusted identity propagation in AWS IAM Identity Center, AWS Lake Formation, and Amazon S3 Access Grants

AWS Big Data

Many organizations use external identity providers (IdPs) such as Okta or Microsoft Azure Active Directory to manage their enterprise user identities. These users interact with and run analytical queries across AWS analytics services. To enable them to use the AWS services, their identities from the external IdP are mapped to AWS Identity and Access Management (IAM) roles within AWS, and access policies are applied to these IAM roles by data administrators.

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Download our data management platform (DMP) enterprise buyer’s guide

CIO Business Intelligence

Data management platforms (DMPs) help organizations collect and manage data from a wide array of sources — and they are increasingly important for customer-centric sales and marketing campaigns.

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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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5 Python Best Practices for Data Science

KDnuggets

Level up your Python skills for data science with these by following these best practices.

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A major tech tune-up at Camping World gives customers a smooth ride

CIO Business Intelligence

Camping World, a $6 billion RV business headquartered in Lincolnshire, Illinois, sells, services, and furnishes RVs to provide customers with comfortable and dependable journeys. And internally, the corporate journey for Sruti Patnaik came in early 2023 when she became the company’s CIO following a significant spike in sales resulting from the 2020 pandemic.

Sales 111
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Introducing support for Apache Kafka on Raft mode (KRaft) with Amazon MSK clusters

AWS Big Data

Organizations are adopting Apache Kafka and Amazon Managed Streaming for Apache Kafka (Amazon MSK) to capture and analyze data in real time. Amazon MSK helps you build and run production applications on Apache Kafka without needing Kafka infrastructure management expertise or having to deal with the complex overhead associated with setting up and running Apache Kafka on your own.

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Altia, adjudicataria del contrato para implementar metodologías ágiles en la CERN

CIO Business Intelligence

La Organización Europea para la Investigación Nuclear (CERN) ha adjudicado a la compañía tecnológica Altia el contrato para capitanear la evolución y el mantenimiento de sus aplicaciones en el área de Business Computing. El proyecto, que contempla una duración inicial de cinco años, subraya el compromiso de la firma de soluciones digitales con la innovación y el desarrollo ágil empleando metodologías Scrum y SAFe en uno de los entornos de investigación más avanzados y complejos del mundo.

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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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Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 3: Semantic Indexing of Enterprise Data

Data Virtualization

Reading Time: 5 minutes GenAI is driving all kinds of innovations and new ways of working, and we have discovered that large language models (LLMs) are capable of some pretty amazing feats. In my last post I discussed how they can enable users to. The post Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 3: Semantic Indexing of Enterprise Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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3 things CIOs can do to make gen AI synch with sustainability

CIO Business Intelligence

Last year, as many CIOs ramped up for their first round of Scope 3 reporting, gen AI found its way into virtually every office. Sometimes it came in through the front door, but in most cases, it seeped in quietly, as knowledge workers experimented with it to write documents and email without necessarily admitting they were doing so. In many organizations, the use cases have stopped there, but some IT departments are now sanctioning — and even encouraging — the use of gen AI for things like codin

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Empower developers to focus on innovation with IBM watsonx

IBM Big Data Hub

In the realm of software development, efficiency and innovation are of paramount importance. As businesses strive to deliver cutting-edge solutions at an unprecedented pace, generative AI is poised to transform every stage of the software development lifecycle (SDLC). A McKinsey study shows that software developers can complete coding tasks up to twice as fast with generative AI.

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La innovación tecnológica avala la ‘pole position’ de McLaren en la parrilla de salida

CIO Business Intelligence

Sobre el asfalto de los circuitos de Fórmula 1, tecnología, innovación e ingeniería confluyen en armonía, desde el pit lane hasta el interior de sofisticados automóviles que compiten por llegar a la línea de meta llevando al podio a la escudería que representan. No sorprende, por tanto, que la industria automovilística haya optado por abrazar desde tiempos inmemoriales la transformación digital.

IoT 105
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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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Cecabank y Kyndryl estrechan lazos para garantizar el soporte del ‘mainframe’ del banco

CIO Business Intelligence

La entidad bancaria Cecabank estrecha lazos con la tecnológica Kyndryl reforzando así su alianza en el ámbito tecnológico. En concreto, ambas entidades han refrendado un acuerdo de colaboración que incluye el mantenimiento y ayuda a la modernización de los sistemas mainframe del banco , entorno en el que residen las aplicaciones de los principales negocios.

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Applying AI for sales growth: Where to start & how to scale

CIO Business Intelligence

Data is a growing, ever-evolving business resource that can be an analytical nightmare or a company’s greatest asset. Because large enterprises use massive amounts of data, this critical asset can quickly become unmanageable and can sabotage the accuracy and efficiency of hard-working sales teams. But with the thoughtful application of AI, it doesn’t have to be this way.

Sales 102
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Ex-Open AI researcher Jan Leike joins Anthropic amid AI safety concerns

CIO Business Intelligence

Jan Leike, a prominent researcher — who recently resigned from OpenAI over safety and governance issues — has joined OpenAI competitor, Anthropic. Leike announced his move on X , stating his new focus will be on “scalable oversight, weak-to-strong generalization, and automated alignment research.” Leike’s departure from OpenAI was one of several recent high-profile exits based on the premise that “safety culture and processes have taken a backseat” at the ChatGPT creator.

Reporting 102
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Leveraging Intelligent Automation (IA) to streamline sales order processing

CIO Business Intelligence

The ROI for applying artificial intelligence to business processes has been well documented, especially when applied to manual tasks. Robotics process automation (RPA) and other intelligent automation technologies, powered by AI, hold promise for speeding up workflows. McKinsey reports that 48% of companies that adopt these tools experience a revenue increase, and 43% say they’ve cut costs with AI tools that automate manual tasks, lessen errors, and speed up processes.

Sales 98
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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How to get started with AI-powered automation

CIO Business Intelligence

Sales order entry initiates a complex series of processes at multiple touchpoints to fulfill what your business has promised. Sales order management challenges include: Complex and ever-changing supply chain conditions. Your business relies on multiple suppliers, each with its own systems, processes, and requirements. Inventory management is a synchronization nightmare.

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Automated Order Management: Is it worth the hype?

CIO Business Intelligence

Many distributors face inefficiencies with order management and fulfillment. Unfortunately, many of their problems start with outdated technology. The truth — and there’s data to back it up — is that outdated technology is the foundation for out-of-step workflows. Manual processes make everyone who touches order management and fulfillment work harder than they need to.

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Former OpenAI board member tells all about Altman’s ousting

CIO Business Intelligence

A former board member of OpenAI has shed new light on last year’s firing of company CEO Sam Altman. In an episode of The Ted AI Show podcast titled What really went down at OpenAI and the future of regulation , Helen Toner spoke with host Bilawal Sidhu about Altman’s departure and subsequent return, as well as the need for sound and thorough AI regulation — an issue of paramount importance for CIOs, who not only need to deal with AI governance in the enterprise, but must also be able to trust th

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10 progetti in cima ai pensieri dei leader IT di oggi

CIO Business Intelligence

Dai tempi in cui può essere fatta risalire la sua nascita, 40 anni fa, la figura del CIO è andata incontro a una sostanziale trasformazione, passando da una professione prettamente tecnica a un ruolo esecutivo sempre più focalizzato sul business e sulla strategia. Quasi la metà (49%) dei leader IT che hanno risposto alla ricerca State of the CIO 2024 [in inglese] di Foundry, editore di CIO.com, afferma di avere tra le sue principali aspettative quella di svolgere un ruolo più strategico nei pros

IT 59
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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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NIST launches ambitious effort to assess LLM risks

CIO Business Intelligence

The National Institute of Standards and Technology (NIST) on Tuesday announced an extensive effort to try to test large language models (LLMs) “to help improve understanding of artificial intelligence’s capabilities and impacts.” NIST’s new Assessing Risks and Impacts of AI (ARIA) program will “assess the societal risks and impacts of artificial intelligence systems,” the NIST statement said, including ascertaining “what happens when people interact with AI regularly in realistic settings.

Risk 130