Sat.Jan 27, 2024 - Fri.Feb 02, 2024

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Why LLMs Used Alone Can’t Address Your Company’s Predictive Needs

KDnuggets

LLMs aren't the right tool for most business applications. Find out why — and learn which AI techniques are a better match.

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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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Today’s best CIOs are strategy wranglers

CIO Business Intelligence

When we started this century the buzz in IT was “everything is going to have a chip.” Twenty-plus years in, CIOs have discovered that, when it comes to IT, everything is going to need a strategy. As CIO, you need a data strategy. You need a cloud strategy. You need a security strategy. If you want to sell anything to anyone under 40, you will need a compellingly composed and authentically executed sustainability strategy.

Strategy 116
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Fighting Against the Rise of Shadow AI

Dataiku

In a matter of months, Generative AI has spread throughout businesses like wildfire, gaining such momentum that it has become — for some — challenging to control. But the truth is, the adoption of Generative AI is just the tip of the “shadow AI” iceberg.

IT 64
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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, we’ll explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, we’ll uncover how AI can be the ultimate sidekick, aiding in decision-making, enhancing productivity, and boosting innovation. Attendees will leave with practical tools and actionable insights, motivated to embrace AI and leverage its potential in their work. 🦸 🏢 Key objectives:

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Mastering Logic Gates: From Boolean Basics to Python Implementation

Analytics Vidhya

Introduction Logic gates are fundamental building blocks in digital electronics and computer science. They perform logical operations based on Boolean logic, which deals with true and false values. In this article, we will explore the importance of logic gates in computing, understand the basic concepts of Boolean logic, and learn how to implement logic gates […] The post Mastering Logic Gates: From Boolean Basics to Python Implementation appeared first on Analytics Vidhya.

Analytics 279
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Achieve Data Center Excellence with IBM and VMware

IBM Big Data Hub

In the last post , we looked at creating a blueprint for a sustainable data center. Now we’ll look at how to get the most out of a modern data center. We don’t need to re-create the wheel all the time. Sometimes, we can look to others who have gone before us for inspiration and examples to help shape our vision for success. And, when we work with partners that have “been there, done that,” we can accelerate our success, taking our vision to a mission to reality.

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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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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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2024 Market Agenda for Artificial Intelligence: Improving Productivity and Experiences

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2024 Market Agenda for Artificial Intelligence , continuing the guidance we have offered for two decades to help enterprises derive optimal value from technology and improve business outcomes.

Marketing 130
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26 Data Science Interview Questions You Should Know

KDnuggets

Learn about the most common questions asked during data science interviews. This blog covers non-technical, Python, SQL, statistics, data analysis, and machine learning questions.

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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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How to Create and Work with NamedTuples in Python?

Analytics Vidhya

Introduction Python is a versatile programming language that offers a wide range of data structures to handle complex tasks efficiently. One such data structure is a namedtuple, which combines the benefits of tuples and dictionaries. In this article, we will explore the concept of namedtuples, their creation, advantages, common use cases, and compare them with […] The post How to Create and Work with NamedTuples in Python?

Analytics 305
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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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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

Financial services customers are using data from different sources that originate at different frequencies, which includes real time, batch, and archived datasets. Additionally, they need streaming architectures to handle growing trade volumes, market volatility, and regulatory demands. The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory

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5 Free University Courses to Ace Coding Interviews

KDnuggets

For acing coding interviews, you need to have a rock solid foundation in data structures and algorithms. Check out these free university courses to help you in your journey.

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Entity Resolution: Your Guide to Deciding Whether to Build It or Buy It

Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. Organizations often invest millions of dollars and years of effort to achieve subpar results. This guide will walk you through the requirements and challenges of implementing entity resolution. By the end, you'll understand what to look for, the most common mistakes and pitfalls to avoid, and your options.

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How To Concatenate Two or More Pandas DataFrames?

Analytics Vidhya

Introduction Pandas is a powerful data manipulation library in Python that provides various functionalities for working with structured data. One of its critical features is its ability to handle and manipulate DataFrames, which are two-dimensional labelled data structures. In this article, we will explore the concept of concatenating DataFrames in Pandas and discuss its benefits […] The post How To Concatenate Two or More Pandas DataFrames?

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Women IT leaders on their climb to the top

CIO Business Intelligence

For women who aspire to leadership roles in IT, the climb to the top can be particularly arduous — and lonely. Just 28% of IT leadership roles are filled by women, according to DDI’s 2023 Global Leadership Forecast , and many women end up leaving IT careers due to workplace culture, pay equity, microaggressions, and a lack of forward growth and promotion, among other uphill challenges.

IT 131
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7 Reasons Dataiku Is the Trusted Source for Modern Analytics

Dataiku

In my prior post , I shared the seven reasons analytics and IT leaders should upgrade to a modern, cloud-native analytics platform. In short, the world has changed, and teams must collaborate and take advantage of the latest cloud and AI technology in a safe and governed environment to create production projects that will generate value for their business.

Analytics 111
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OpenAI API for Beginners: Your Easy-to-Follow Starter Guide

KDnuggets

Learn how to use OpenAI Python API for accessing language, embedding, audio, vision, and image generation models.

Modeling 136
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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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10 Ways to Create Pandas Dataframe

Analytics Vidhya

Introduction Pandas is a powerful data manipulation library in Python that provides various data structures, including the DataFrame. A DataFrame is a two-dimensional labeled data structure with columns of potentially different types. It is similar to a table in a relational database or a spreadsheet in Excel. In data analysis, creating a DataFrame is often […] The post 10 Ways to Create Pandas Dataframe appeared first on Analytics Vidhya.

Analytics 291
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SAP offers big discount to lure on-prem S/4HANA customers to Rise

CIO Business Intelligence

SAP is offering on-premises S/4HANA users a credit of 60% of their first year’s fees if they migrate to its all-in-one cloud-based offering, Rise with SAP. The credit, to be spent on other SAP services, should be enough to offset around half of the overall cost of a typical migration, according to Jan Gilg, the company’s chief product officer for cloud ERP.

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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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Natural Language Processing: Bridging Human Communication with AI

KDnuggets

The post highlights real-world examples of NLP use cases across industries. It also covers NLP's objectives, challenges, and latest research developments.

IT 112
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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Microsoft’s AI-Powered ‘Voice Clarity’ Revolutionizes Audio on Windows 11

Analytics Vidhya

Microsoft has introduced an enhancement to Windows 11, unveiling its AI-backed ‘Voice Clarity’ feature. This innovation aims to transform the audio experience for users, particularly in virtual meetings and PC gaming. In this article, we delve into the functionality and impact of Voice Clarity, recently made available on all Windows machines, including those with ARM […] The post Microsoft’s AI-Powered ‘Voice Clarity’ Revolutionizes Audio on Windows 11 appeare

Analytics 277
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Generative AI’s role in increasing IT efficiency

CIO Business Intelligence

CIOs and their IT teams — including operations/DevOps, site reliability engineering, and platform engineering — are charged with building and managing IT services that can provide near 100% uptime. When incidents do occur, they need to resolve them quickly. That’s a high bar, since a typical enterprise IT environment spans the cloud, edge, and hosted and on-premises data centers containing thousands of interdependent applications, all of which create millions of data points.

IT 122
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CI/CD & DevOps for Power BI… Are We There Yet?

Paul Turley

In my view, projects and teams of different sizes have different needs. I described DevOps maturity as a pyramid, where most projects don't require a sophisticated DevOps implementation, and the most complex solutions do. The DevOps maturity is a progression, but only for projects of a certain scale. One of the following options might simply be the best fit for a particular project.

Reporting 103
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Top 5 AI Podcasts You Can’t Miss in 2024

KDnuggets

Tune in to these 5 AI podcasts at the gym or on your commute to keep up to date with the world of AI.

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Deliver Mission Critical Insights in Real Time with Data & Analytics

In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.

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Microsoft’s New GenAI Team Targets Smaller and Cheaper AI Models

Analytics Vidhya

Microsoft is stepping up its game in the artificial intelligence (AI) landscape, forming a dedicated GenAI team to develop smaller and more cost-effective language models. This move signifies a shift away from dependency on OpenAI’s technology, a notable change in Microsoft’s approach to AI development. Also Read: Microsoft Introduces SliceGPT For Compressing LLMs The GenAI […] The post Microsoft’s New GenAI Team Targets Smaller and Cheaper AI Models appeared first on Ana

Modeling 292
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Dawn Rising: Jumpstarting a new age of AI supercomputing in the U.K.

CIO Business Intelligence

In November 2023, the Cambridge Open Zettascale Lab announced the deployment of the U.K.’s fastest AI supercomputer: Dawn Phase 1. 1 Powered by the latest Intel GPUs and CPUs aboard liquid-cooled Dell servers, the Dawn supercomputer combines breakthrough artificial intelligence (AI) and advanced high-performance computing (HPC) technology to help researchers solve the world’s most complex challenges Accelerating breakthrough Dawn vastly increases the U.K.’s AI and simulation compute capacity and

Software 116
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Smart Homes and Robotics: A Look into the Future of Home Automation

Smart Data Collective

Automation and robotics incorporated into security systems and smart home solutions have revolutionized the field of home security, home automation or domotics, and housework facilitation. The number of smart home users in the US is continuously increasing and is expected to reach nearly 70 million homes in 2024.

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What I Learned From Using ChatGPT for Data Science

KDnuggets

ChatGPT can be a great tool for data scientists. Here’s what I learned about where it excels and where it is less so.

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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.