January, 2024

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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully.

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Top 6 predictions for AI advancements and trends in 2024

IBM Big Data Hub

In 2024, the initial cultural fascination with early generative AI yields tangible business results. This technology, which includes the ability to process and generate text, voice and video content, is revolutionizing how companies enhance productivity, foster innovation and stimulate creativity. According to McKinsey & Company , these AI applications have the potential to contribute between USD 2.6 trillion and 4.4 trillion annually to the global economy through various business scenarios.

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Ultimate List of Generative AI Resources

Analytics Vidhya

Introduction The rise of Large Language Models (LLMs) like ChatGPT has been revolutionary, igniting a new era in how we interact with technology. These sophisticated models, exemplified by ChatGPT, have redefined how we engage with digital platforms. Think about it – how often have you used tools like ChatGPT to effortlessly write an email or […] The post Ultimate List of Generative AI Resources appeared first on Analytics Vidhya.

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13 IT resolutions for 2024

CIO Business Intelligence

CIOs are readying for another demanding year, anticipating that artificial intelligence, economic uncertainty, business demands, and expectations for ever-increasing levels of speed will all be in play for 2024. Yet, CIOs remain both undaunted by that list and expectant about what they can achieve. They’re articulating ambitions and formulating objectives, turning those would-be challenges into opportunities.

IT 144
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Get Better Network Graphs & Save Analysts Time

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.

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The AI Playbook: Providing Important Reminders to Data Professionals

TDAN

Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers on effectively leveraging AI within business operations.

Metrics 122
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Amplifying Deep Learning: A Dive into Data Augmentation Strategies

Analytics Vidhya

Introduction In the world of deep learning, where data is often less, the role of data augmentation has become very important. We use methods like turning images or flipping them to make our model learn better. But our datasets are becoming more complicated. That’s where data augmentation steps in. This helps for our learning model […] The post Amplifying Deep Learning: A Dive into Data Augmentation Strategies appeared first on Analytics Vidhya.

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Prompt Engineering 101: Mastering Effective LLM Communication

KDnuggets

This article serves as an introduction to those looking to understanding what prompt engineering is, and to learn more about some of the most important techniques currently used in the discipline.

Modeling 141
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How to handle a ransomware attack 

IBM Big Data Hub

It’s the news no organization wants to hear―you’ve been the victim of a ransomware attack, and now you’re wondering what to do next. The first thing to keep in mind is you’re not alone. Over 17 percent of all cyberattacks involve ransomware —a type of malware that keeps a victim’s data or device locked unless the victim pays the hacker a ransom.

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10 Advanced Git Techniques

KDnuggets

Improve your version control skills to resolve issues and maintain a clean Git repository.

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Oracle plans to expand its cloud region across the Middle East

CIO Business Intelligence

Oracle’s annual flagship event, CloudWorld Tour returned to the UAE for the second consecutive year to share the company’s latest AI innovations to power UAE’s Digital Economy and its plans across the region. The company that just turned 35 years old in the UAE will continue to invest in local infrastructure to bring cloud capabilities that will help the UAE Government entities and private sector.

IT 145
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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Quiz of the Day (Scikit-learn) # 14

Analytics Vidhya

Welcome to another exciting edition of the AI Quiz of the Day! In today’s edition, we delve into the fascinating world of machine learning with a focus on the popular Scikit-learn library, commonly known as Sklearn. Sklearn is a powerful tool for data analysis and machine learning, offering a wide range of modules that simplify […] The post Quiz of the Day (Scikit-learn) # 14 appeared first on Analytics Vidhya.

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The EU Data Act Is Now In Force – What It Means For You And Your Organization

Martha Bennett

Providers and users of connected products in the EU, or services related to such products, take note: The EU Data Act is now in force. The clock on the transition period started ticking on January 11, 2023, and you need to be prepared.

IT 124
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Benefits of the LLM Mesh, Part 2: Enforcing a Secure API Gateway

Dataiku

With Generative AI top of mind for many companies, IT leaders have been tasked with figuring out how to make the most of this new technology through pilot use cases and experimentation.

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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. Today, everyone expects a personalized experience in any application, and organizations are constantly innovating to increase their speed of business operation and decision making. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 112
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Enroll in a 4-year Computer Science Degree Program For Free

KDnuggets

Enroll in the free OSSU Computer Science degree program and launch your career in tech today. Learn from high-quality courses from professors from leading universities like MIT, Harvard, and Princeton.

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Trust: The foundation for successful digital transformation

CIO Business Intelligence

In today’s dynamic, digitally evolving business landscape, establishing a strong foundation of trust within an organization is more vital than ever. In this article, we look at why trust is so critical in an enterprise and offer some key approaches for establishing a solid foundation of trust. Trust is critical and difficult to maintain In an enterprise, trust can be fragile.

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7 Libraries for Machine Learning

Analytics Vidhya

Introduction Machine learning has revolutionized the field of data analysis and predictive modelling. With the help of machine learning libraries, developers and data scientists can easily implement complex algorithms and models without writing extensive code from scratch. In this article, we will explore the top 7 libraries for machine learning and understand their features, use […] The post 7 Libraries for Machine Learning appeared first on Analytics Vidhya.

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10 Best Practices For Business Intelligence Dashboards

Smart Data Collective

Companies around the world increasingly use business intelligence (BI) dashboards. If you use one or intend to, knowing some business intelligence best practices can help you avoid pitfalls. Here are 10 best practices for usiness intelligence dashboards from which you can choose information to display.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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LVMH's Data Revolution: Pioneering AI at Scale in the World of Luxury

Dataiku

This blog post is a translated adaptation of LeMagIt’s article, “ Comment LVMH déploie l’IA à l’échelle.” In the fast-evolving landscape of luxury retail, staying ahead means not just embracing innovation but also orchestrating it across diverse brands and sectors. LVMH, the iconic French luxury group, has emerged as a trailblazer by strategically deploying artificial intelligence (AI) on an unprecedented scale.

IT 111
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The dynamic forces behind data center re-transformation 

IBM Big Data Hub

Data centers are undergoing significant evolution. Initially, they were massive, centralized facilities that were complex, costly and difficult to replicate or restore. Now, advancements in hardware and software as well as increased focus on sustainability are driving rapid transformation. Catalysts and conundrums A dramatic shift in development and operations is making data centers more agile and cost-effective.

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The Only Free Course You Need To Become a Professional Data Engineer

KDnuggets

Data Engineering ZoomCamp offers free access to reading materials, video tutorials, assignments, homeworks, projects, and workshops.

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6 tough AI discussions every IT leader must have

CIO Business Intelligence

Few technologies have provoked the same amount of discussion and debate as artificial intelligence, with workers, high-profile executives, and world leaders waffling between praise and fears over AI. Granted, CIOs have not been called before Congress to testify. But they are being grilled in executive suites and boardrooms, as enterprise leaders turn to their technology chiefs with all sorts of challenging questions that CIOs are expected to answer.

IT 140
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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apt-get Command in Linux: Understanding with Examples

Analytics Vidhya

Introduction The apt-get command is a powerful tool in Linux that allows users to manage software packages. Whether you want to install, update, remove, or search for packages, apt-get provides a simple and efficient way to handle these tasks. In this article, we will explore the various functionalities of apt-get and provide examples to help […] The post apt-get Command in Linux: Understanding with Examples appeared first on Analytics Vidhya.

Software 323
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Why Data-Driven Businesses Need Clean Sales Data

Smart Data Collective

We have talked about how big data is beneficial for companies trying to improve efficiency. However, many companies don’t use big data effectively. In fact, only 13% are delivering on their data strategies. We have talked about the importance of data quality when you are running a data-driven business.

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Use Amazon Athena with Spark SQL for your open-source transactional table formats

AWS Big Data

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. As data lakes have grown in size and matured in usage, a significant amount of effort can be spent keeping the data consistent with business events.

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Modernizing mainframe applications with a boost from generative AI

IBM Big Data Hub

Look behind the scenes of any slick mobile application or commercial interface, and deep beneath the integration and service layers of any major enterprise’s application architecture, you will likely find mainframes running the show. Critical applications and systems of record are using these core systems as part of a hybrid infrastructure. Any interruption in their ongoing operation could be disastrous to the continued operational integrity of the business.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Survey: Machine Learning Projects Still Routinely Fail to Deploy

KDnuggets

The author highlights the chronic under-deployment of ML projects, with only 22% of revolutionary initiatives deploying and a lack of stakeholder visibility and detailed planning as key issues, in his industry survey and book "The AI Playbook.

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4 paths to sustainable AI

CIO Business Intelligence

Regulators, investors, customers, and even employees are pushing companies to minimize the climate impact of their AI initiatives. Everything from geothermal data centers to more efficient graphic processing units (GPUs) can help. But AI users must also get over the urge to use the biggest, baddest AI models to solve every problem if they truly want to fight climate change.

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Google and Stanford Develop AI Housemaid

Analytics Vidhya

Stanford University has introduced Mobile ALOHA, a robotic system that advances the capabilities of bimanual mobile manipulation through low-cost whole-body teleoperation. This innovation, which builds upon Google DeepMind’s existing ALOHA system, brings mobility and dexterity to the forefront of robotic learning. The project developed in collaboration with Berkeley University and Meta has many features, which […] The post Google and Stanford Develop AI Housemaid appeared first on An

Analytics 325
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Can Language Models Replace Compilers?

O'Reilly on Data

Kevlin Henney and I recently discussed whether automated code generation, using some future version of GitHub Copilot or the like, could ever replace higher-level languages. Specifically, could ChatGPT N (for large N) quit the game of generating code in a high-level language like Python, and produce executable machine code directly, like compilers do today?

Modeling 280
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.