Tue.Nov 14, 2023

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Creativity Isn’t Just Remixing

O'Reilly on Data

This is not the first time that I’ve written about AI creativity, and I doubt that it will be the last. It’s a question that comes up repeatedly, and that is very much in the current mind, with events like the strikes by the Writers’ Guild of America and the Screen Actors Guild , in which the use of AI to create scripts and to generate images of actors was an issue.

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10 cloud strategy questions every IT leader must answer

CIO Business Intelligence

It’s no longer a question of whether organizations are moving to the cloud but rather how well it’s going. Cloud isn’t that shiny new object in the distance, full of possibility. It’s come down to earth — sometimes with an unexpected thud onto the wrong side of a company’s balance sheet. “There are so many people who bought into cloud without thinking through the real reasons why they were doing this and what they wanted to accomplish,” says David Mitchell Smith, distinguished vice president and

Strategy 145
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Everything you need to become a SAS Certified Machine Learning Engineer

KDnuggets

Read on to find out everything you need to become a SAS Certified Machine Learning Engineer.

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What is code-to-cloud security intelligence?

CIO Business Intelligence

In the last decade, the technology industry experienced a massive shift toward the cloud where every company no matter the industry developed and deployed cloud-native applications. This pace shows no sign of stopping; we have an app economy – now bolstered by AI-led developments. Data reflects this momentum, with worldwide public cloud spending expected to reach $600 billion by the end of 2023.

Risk 132
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Signal-Based Selling: How to Leverage 4 Key Buying Signals

As prospects define their problem, search for solutions, and even change jobs, they are generating high-value signals that the best go-to-market teams can leverage to close more deals. This is where signal-based selling comes into play. ZoomInfo CEO Henry Schuck recently broke down specific ways to put four key buying signals into action with the experts from 30 Minutes to President’s Club.

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7 Steps to Running a Small Language Model on a Local CPU

KDnuggets

Discover how to run a small language model on your local CPU in just seven easy steps.

Modeling 124
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Relationship management: The unsung art of optimizing IT teams

CIO Business Intelligence

Success for an IT leader requires mastering a wide range of skills. One must have technical acumen and business savvy, be a great communicator and problem-solver, and know how to secure funding and capitalize on it. But getting the most out of IT staff and unleashing synergies among IT teams is among the more underappreciated skills an IT leader must have to optimize their organization’s efforts.

More Trending

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More connected, less secure: Addressing IoT and OT threats to the enterprise

CIO Business Intelligence

The Internet of Things (IoT) is a permanent fixture for consumers and enterprises as the world becomes more and more interconnected. By 2027, the global number of connected IoT devices is projected to exceed 29 billion, a significant increase from the 16.7 billion devices reported in 2023. While the connected device landscape continues to expand and evolve, so do the opportunities for cybercriminals to exploit IoT vulnerabilities.

IoT 130
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How to accelerate your data monetization strategy with data products and AI

IBM Big Data Hub

Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. A value exchange system built on data products can drive business growth for your organization and gain competitive advantage. This growth could be internal cost effectiveness, stronger risk compliance, increasing the economic value of a partner ecosystem, or through new revenue streams.

Strategy 103
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The future of IT: what we can learn from the mainframe

CIO Business Intelligence

In the continuously evolving landscape of information technology, change is the only constant. Mainframes have now been around for decades and have etched their mark as the systems that laid the foundation for many technological advances. And then came the cloud, a transformative revolution that took the IT world by storm. But cloud isn’t the only “newer” technology out there: Take artificial intelligence, augmented reality, and edge computing.

IT 126
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From Fiction to Reality: ChatGPT and the Sci-Fi Dream of True AI Conversation

KDnuggets

Have our Sci-Fi dreams become reality?

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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An introduction to Wazi as a Service

IBM Big Data Hub

In today’s hyper-competitive digital landscape, the rapid development of new digital services is essential for staying ahead of the curve. However, many organizations face significant challenges when it comes to integrating their core systems, including Mainframe applications, with modern technologies. This integration is crucial for modernizing core enterprise applications on hybrid cloud platforms.

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Data and AI as the Key to Unlocking Financial Inclusion

Cloudera

Of the many things one might take for granted, access to banking and financial services may not immediately come to mind. But as a thought experiment, imagine trying to buy a home or a car without the ability to take out a loan. Try depending on cash payments from your employer, or relying on alternative banking solutions like short-term payday loans, check-cashing services, and prepaid debit cards.

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How Wallapop improved performance of analytics workloads with Amazon Redshift Serverless and data sharing

AWS Big Data

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it straightforward and cost-effective to analyze all your data at petabyte scale, using standard SQL and your existing business intelligence (BI) tools. Today, tens of thousands of customers run business-critical workloads on Amazon Redshift. Amazon Redshift Serverless makes it effortless to run and scale analytics workloads without having to manage any data warehouse infrastructure.

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Cooking Up Successful DataOps With Dataiku

Dataiku

Discover why Dataiku is the go-to DataOps solution to streamline automation & monitoring of your data and prepare you for machine learning.

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Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

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Data Observability vs. Data Quality

TDAN

Data empowers businesses to gain valuable insights into industry trends and fosters profitable decision-making for long-term growth. It enables firms to reduce expenses and acquire and retain customers, thereby gaining a competitive edge in the digital ecosystem. No wonder businesses of all sizes are switching to data-driven culture from conventional practices.

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Amazon Kinesis Data Streams: celebrating a decade of real-time data innovation

AWS Big Data

Data is a key strategic asset for every organization, and every company is a data business at its core. However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 59
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Eyes on Data: The Right Foundation for Trusted Data and Analytics

TDAN

Trust. Trust is defined as the assured reliance or belief on the character, ability, strength, or truth of someone or something (Webster’s Dictionary). It’s a term we use often to describe how we feel about the people, the institutions, and the things around us.

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Expert Insights on Developing Safe, Secure, and Trustworthy AI Frameworks

KDnuggets

In alignment with President Biden's recent Executive Order emphasizing safe, secure, and trustworthy AI, we share our Trusted AI (TAI) lessons learned two years into the course of our US Federally funded TAI research projects.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Data Speaks for Itself: Data Love and Data Limerence

TDAN

Now that “data” is finally having its day, data topics are blooming like jonquils in March. Data management, data governance, data literacy, data strategy, data analytics, data engineering, data mesh, data fabric, data literacy, and don’t forget data littering.

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Real-Time Data Drives Reporting Success With Wands for Oracle

Jet Global

In today’s data-driven world, having accurate, timely insights into data is critical. When your operational and financial reporting teams are extracting and transforming Oracle E-Business Suite (EBS) data, it can be a complex, cumbersome task and they need a way to handle data that empowers them to overcome reporting obstacles. They need data that meets security and compliance thresholds, not inaccurate data that hampers the organization’s goals.

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Game-Changing Data Definitions You Cannot Afford to Ignore

TDAN

In today’s data-driven world, the terms “data governance” and “data stewardship” have become buzzwords, often thrown around without a clear understanding of their significance. However, defining these terms is not about adding complexity, it’s about establishing clarity and accountability and providing a sense of practicality and pragmatism.

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Metadata Governance: An Outline for Success (Part One)

TDAN

Organizations are driven by their mission and the underlying strategies to accomplish that mission. Organizations that fail to understand their mission and strategies will at best flounder and at worst fail. The outline in the following article will help an organization manage its metadata about itself (mission, strategies, etc.

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Predicting the Future of Sales: How AI and Automation Will Revolutionize Strategies

In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.

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Synchronized Video Data Collaboration for Multi-Layered Insights

TDAN

In this digital age, large amounts of data are produced and consumed every second. And particularly for experienced bloggers in the data management or IT industry, synchronized video data collaboration represents an untapped wellspring of potential. By harnessing this data revolution, businesses can gain multi-layered insights into consumer behavior and enhance organizational performance.