February, 2024

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Semantic Layers are the Missing Piece for AI-Enabled Analytics

KDnuggets

Integrating a semantic layer with Language Learning Models (LLMs) presents a clean solution to this, particularly in the realm of AI chatbots. This combination empowers businesses to generate fast responses and reports based on their data. Leveraging AI and semantic layers is advancing business intelligence, making it easier than ever for people to interact with data.

Analytics 134
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LinkedIn’s New AI Chatbot Wants to Help You Find a Job

Analytics Vidhya

LinkedIn, the professional networking platform, is harnessing the power of artificial intelligence (AI) to redefine the job search experience and streamline networking efforts. With new AI-powered features, LinkedIn aims to offer personalized assistance to users navigating the competitive job market and seeking to expand their professional connections.

Marketing 364
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Trending Sources

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CIOs rethink all-in cloud strategies

CIO Business Intelligence

After years of marching to the cloud migration drumbeat, CIOs are increasingly becoming circumspect about the cloud-first mantra, catching on to the need to turn some workloads away from the public cloud to platforms where they will run more productively, more efficiently, and cheaper. “‘Cloud exit’ became a big theme in 2023 and there’s good odds it’ll turn into a real trend for 2024.

Strategy 144
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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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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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Generative AI use cases for the enterprise

IBM Big Data Hub

Remember how cool it felt when you first held a smartphone in your hand? The compact design and touch-based interactivity seemed like a leap into the future. Before long, smartphones became a way of life for organizations worldwide because of all they offer for business productivity and communication. Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating.

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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

More Trending

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Microsoft Reveals How Hackers Are Using GenAI Tools

Analytics Vidhya

Microsoft, in collaboration with OpenAI, has revealed a concerning trend in the realm of cybersecurity: the utilization of generative artificial intelligence (GenAI) by hostile states for offensive cyber operations. Highlighting the involvement of countries such as Iran, North Korea, Russia, and China, Microsoft sheds light on the evolving landscape of cyber warfare.

Analytics 346
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Prioritizing AI? Don’t shortchange IT fundamentals

CIO Business Intelligence

Generative AI continues to dominate IT projects for many organizations, with two thirds of business leaders telling a Harris Poll they’ve already deployed generative AI tools internally, and IDC predicting spend on gen AI will more than double in 2024. But the usual laundry list of priorities for IT hasn’t gone away. Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with.

IT 143
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Climate Change investment needs more than hot air from politicians

Jen Stirrup

Like many people, I care about the environment and the climate crisis. At the time of writing, the UK Labour Party is expected to announce that it would no longer spend £28bn a year on environmental projects if it won the upcoming general election. They are still talking about a £28bn figure, but are moving towards this figure coming from private investment but have no clear plan on how to obtain it.

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Climate change predictions: Anticipating and adapting to a warming world

IBM Big Data Hub

In an era of accelerating climate change , predicting the near-future can yield major benefits. For instance, when utility officials are aware that a heat wave is on its way, they can plan energy procurement to prevent power outages. When farmers in drought-prone regions are able to predict which crops are susceptible to failure , they can deploy additional irrigation.

Modeling 113
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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.

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Documenting Critical Data Elements

TDAN

Many Data Governance or Data Quality programs focus on “critical data elements,” but what are they and what are some key features to document for them? A critical data element is any data element in your organization that has a high impact on your organization’s ability to execute its business strategy.

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Python in Finance: Real Time Data Streaming within Jupyter Notebook

KDnuggets

Learn a modern approach to stream real-time data in Jupyter Notebook. This guide covers dynamic visualizations, a Python for quant finance use case, and Bollinger Bands analysis with live data.

Finance 144
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How Blackbox AI Can Solve All Your Coding Problems

Analytics Vidhya

Introduction Stuck on a coding problem? Need a fresh perspective on your project? Blackbox.ai is your new AI-powered coding assistant, ready to supercharge your development workflow. Whether you’re seeking code suggestions in real-time, want to chat about complex concepts, or require assistance writing entire sections, Blackbox has you covered.

Analytics 333
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5 key metrics for IT success

CIO Business Intelligence

IT leaders are drowning in metrics, with many finding themselves up to their KPIs in a seemingly bottomless pool of measurement tools. The result is wasted time, confusion, and, in some cases, conflicting insights. There are several important metrics that can be used to achieve IT success, says Jonathan Nikols, senior vice president of global enterprise sales for the Americas at Verizon.

Metrics 139
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How To Speak The Language Of Financial Success In Product Management

Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.

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Health Care Outside of the Box

Cloudera

How enterprise-grade data management creates better and more efficient care. In the last few years, the acceptance of telehealth has become more widespread as patients and providers found they could maintain continuity through phone and video collaboration, instead of in-person visits. In many cases, a level of care that once required a drive to the clinic or hospital could be delivered over a mobile phone or laptop, with no travel and no waiting room.

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Why You’re Not Ready for Knowledge Graphs!

Ontotext

In the UK, there’s an old saying “Don’t wear your coat indoors, or you won’t feel the benefit when you go out”. In the same way, it’s good to know what you need to have in place to feel all the benefits knowledge graphs can bring. Based on our experience, we’ve found that there are some common stumbling blocks. Let’s have a look at those. Why You need to make sure the people in your organization know the why of the knowledge graph project.

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Climate Change and the need to look back as well as forward

Jen Stirrup

Climate change initiatives must combat existing issues and prevent future climate problems. One worrying issue is that it is not enough to look at the alleviation of future climate damage; we also need to look at ways to fix the damage that has already occurred, as well as look at the economic viability of options so that there will be a strong incentive for businesses to switch from petrochemical sources to alternatives.

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What Is Data Lineage, And Why Does It Matter?

KDnuggets

If you’ve ever had conversations with data professionals, you’ve probably heard “data lineage” pop up quite a few times. So what is data lineage all about, and why is it important?

IT 153
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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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Top Data Science Specializations for 2024

Analytics Vidhya

Introduction Data Science is everywhere in the 21st century and has emerged as an innovative field. But what exactly is Data Science? And why should one consider specializing in it? This blog post aims to answer these questions and more. Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to […] The post Top Data Science Specializations for 2024 appeared first on Analytics Vidhya.

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IT leaders turn to HBCUs for future IT talent

CIO Business Intelligence

Officials at the North Carolina Department of Information Technology found themselves in a position familiar to most IT organizations: aware of the need to do more to attract IT workers given that they — like most employers — faced fierce competition for talent. They also believed they needed to take more responsibility for increasing the diversity of workers in their IT ranks.

IT 137
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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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Enhance data security and governance for Amazon Redshift Spectrum with VPC endpoints

AWS Big Data

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3). Furthermore, they are adopting security models that require access to the data lake through their private networks.

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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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The Art of Lean Governance: Addressing the Elephant in the Room

TDAN

Hands down one of the most frequent observations when walking the data factory at different clients is the excessive use of spreadsheets for data collection and purification. These spreadsheets are part of a critical data enrichment process for getting reports out the door on time.

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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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How to Use Gemma LLM?

Analytics Vidhya

Introduction Large language models (LLMs) are increasingly becoming powerful tools for understanding and generating human language. These models have achieved state-of-the-art results on different natural language processing tasks, including text summarization, machine translation, question answering, and dialogue generation. LLMs have even shown promise in more specialized domains, like healthcare, finance, and law.

Finance 326
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From fear to abundance: Rethinking job security in the age of generative AI

CIO Business Intelligence

By Chet Kapoor, Chairman & CEO at DataStax Along with the exciting possibilities of generative AI (genAI), there have been concerns around job (in)security and displacement. Leaders are feeling the pressure to implement genAI quickly and automate as much as possible. Some will see this as an opportunity to “get lean” and reduce headcount. Others will keep the people they have and find new ways to become super efficient.

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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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Public cloud vs. private cloud vs. hybrid cloud: What’s the difference?

IBM Big Data Hub

It’s hard to imagine a business world without cloud computing. There would be no e-commerce, remote work capabilities or the IT infrastructure framework needed to support emerging technologies like generative AI and quantum computing. Determining the best cloud computing architecture for enterprise business is critical for overall success. That’s why it is essential to compare the different functionalities of private cloud versus public cloud versus hybrid cloud.

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Data governance in the age of generative AI

AWS Big Data

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Working with large language models (LLMs) for enterprise use cases requires the implementation of quality and privacy considerations to drive responsible AI. However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for gener

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Stop Complaining About Your Data – And Do Something About It

TDAN

Organizations are drowning in a sea of data, facing challenges that range from inconsistent quality to inefficient and ineffective management. It’s easy to complain about the state of your data, but a more productive tactic involves taking actionable steps to address these issues.

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8 Built-in Python Decorators to Write Elegant Code

KDnuggets

Developers can modify a function's behavior using decorators, without changing its source code. This provides a concise and flexible way to enhance and extend the functionality of functions.

IT 142
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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