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 119
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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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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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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 299
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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.

More Trending

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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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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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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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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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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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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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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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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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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 324
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How to calculate TCO for enterprise software

CIO Business Intelligence

When organizations buy a shiny new piece of software, attention is typically focused on the benefits: streamlined business processes, improved productivity, automation, better security, faster time-to-market, digital transformation. The other side of the cost/benefit equation — what the software will cost the organization, and not just sticker price — may not be as captivating when it comes to achieving approval for a software purchase, but it’s just as vital in determining the expected return o

Software 131
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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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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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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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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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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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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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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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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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Cybersecurity Alert: AI Makes Scam Emails More Convincing

Analytics Vidhya

Artificial intelligence is set to revolutionize cyber threats, warns the UK’s National Cyber Security Centre (NCSC). In their latest assessment, they highlight the potential for AI, particularly generative AI, to make phishing attacks more sophisticated, posing a significant challenge for individuals to distinguish genuine emails from fraudulent ones.

Analytics 315
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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 126
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How does data deduplication work?

IBM Big Data Hub

Recent years have witnessed an explosion in the proliferation of self-storage units. These large, warehouse units have sprung up nationally as a booming industry because of one reason—the average person now has more possessions than they know what to do with. The same basic situation also plagues the world of IT. We’re in the midst of an explosion of data.

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Preprocess and fine-tune LLMs quickly and cost-effectively using Amazon EMR Serverless and Amazon SageMaker

AWS Big Data

Large language models (LLMs) are becoming increasing popular, with new use cases constantly being explored. In general, you can build applications powered by LLMs by incorporating prompt engineering into your code. However, there are cases where prompting an existing LLM falls short. This is where model fine-tuning can help. Prompt engineering is about guiding the model’s output by crafting input prompts, whereas fine-tuning is about training the model on custom datasets to make it better suited

Metadata 104
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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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LangChain: Automating Large Language Model (LLM) Evaluation

Analytics Vidhya

Introduction Large Language Models (LLMs) have captivated the world with their ability to generate human-quality text, translate languages, summarize content, and answer complex questions. Prominent examples include OpenAI’s GPT-3.5, Google’s Gemini, Meta’s Llama2, etc. As LLMs become more powerful and sophisticated, so does the importance of measuring the performance of LLM-based applications.

Modeling 314
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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 119
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AI Drives Breakthroughs in Therapy Practice Management Software

Smart Data Collective

Last year, Francesca Minerva and Alberto Giubilini wrote a great article on the possibility that AI will be the future of the mental health profession. They talked about many of the benefits of using AI, including diagnosing mental health issues and recognizing patterns better than humans.

Software 101
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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 131
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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.