Thu.Sep 07, 2023

article thumbnail

Understanding Algorithmic Bias: Types, Causes and Case Studies

Analytics Vidhya

Introduction Have you ever wondered why your social media feed seems to predict your interests with uncanny accuracy, or why certain individuals face discrimination when interacting with AI systems? The answer often lies in algorithmic bias, a complex and pervasive issue within artificial intelligence. This article will disclose what is algorithmic bias, its various dimensions, […] The post Understanding Algorithmic Bias: Types, Causes and Case Studies appeared first on Analytics Vidhya.

article thumbnail

Briefing the board on AI: Educate to tee up investment

CIO Business Intelligence

This year’s escalating hype around artificial intelligence finds CIOs once again in the spotlight. With leaders from every department bandying about possibilities and concerns, CIOs are uniquely positioned to provide real talk and leadership on the company’s AI agenda. One place where those conversations must occur but perhaps have not to date is the boardroom.

Risk 119
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Video Summarization Using OpenAI Whisper and Hugging Chat API

Analytics Vidhya

Introduction “Less is more,” as architect Ludwig Mies van der Rohe famously said, and this is what summarization means. Summarization is a critical tool in reducing voluminous textual content into succinct, relevant morsels, appealing to today’s fast-paced information consumption. In text applications, summarization aids information retrieval, and supports decision-making.

Analytics 335
article thumbnail

Generative AI’s potential as a force multiplier in defense

CIO Business Intelligence

When it comes to safeguarding people and nations, innovation can never rest. That’s why, around the world, governments and the defense industry as a whole are now investing and exploring generative artificial intelligence (AI), or large language models (LLMs), to better understand what’s possible. At first blush, it seems that generative AI and LLM tools will present the defense industry with unprecedented breakthrough innovations.

article thumbnail

How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

article thumbnail

Leveraging Generative Models to Boost Semi-Supervised Learning

Analytics Vidhya

Introduction In the dynamic world of machine learning, one constant challenge is harnessing the full potential of limited labeled data. Enter the realm of semi-supervised learning—an ingenious approach that harmonizes a small batch of labeled data with a trove of unlabeled data. In this article, we explore a game-changing strategy: leveraging generative models, specifically Variational […] The post Leveraging Generative Models to Boost Semi-Supervised Learning appeared first on Analytics V

Modeling 330
article thumbnail

SAP to buy LeanIX to advance process optimization with AI

CIO Business Intelligence

SAP has agreed to buy German enterprise architecture management specialist LeanIX, hoping its early adoption of AI will help with the massive task of migrating customers still using SAP’s legacy software on premises to the more modern S/4HANA in the cloud. LeanIX has around 1,000 customers for its EAM SaaS offering, its CEO André Christ said in a conference call to discuss the deal, and the US is one of its biggest markets with the 30% of its customers there accounting for 50% of its revenue.

More Trending

article thumbnail

Engineering Manager for Reality Labs with @dannyzlo: TDI 18

Data Science 101

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. “I think most people are still sleeping on the paradigm shift we’re heading for AR in the next few years.” — Danny Zlobinsky (@dannyzlo) on Threads Today we have @dannyzlo.

article thumbnail

Make SASE your cybersecurity armor – but don’t go it alone

CIO Business Intelligence

Production lines, networks, call centers: every aspect of your organization is being revolutionized in different ways by technology such as AI, automation, edge computing and the many flavors of cloud. Additionally, many employees now work from home part- or full-time, using a range of corporate-issued or personal devices outside the traditional network perimeter.

IT 111
article thumbnail

Harnessing AI and data analytics can make clean energy more viable

IBM Big Data Hub

The effects of climate change grow more tangible by the day. As a result, the electric power industry is hastening efforts to reduce environmental impact. To do so, they need help to get a clearer picture of where they fall on the emissions reduction roadmap, and to better understand their opportunities for improvement. This is where harnessing artificial intelligence (AI) and data analytics can help.

article thumbnail

The multi-cloud era – a faster path forward for enterprises and Managed Services Providers

CIO Business Intelligence

The era of the multi-cloud landscape is here. CIOs are taking deliberate action by proactively matching workloads and applications with the ideal cloud, and companies are also seeing a proliferation of multi-cloud architectures created by mergers and acquisitions, data sovereignty needs, support for remote work, and shadow IT. This is leading to a multi-cloud approach that is increasingly ubiquitous among the most advanced enterprises.

article thumbnail

Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

article thumbnail

Building Microservice for Multi-Chat Backends Using Llama and ChatGPT

KDnuggets

As LLMs continue to evolve, integrating multiple models or switching between them has become increasingly challenging. This article suggests a Microservice approach to separate model integration from business applications and simplify the process.

article thumbnail

BusinessObjects Enjoying the Summer of Surprise Winners

Paul Blogs on BI

It’s been a summer of exciting and surprising wins in the international sports world. The Women’s World Cup saw some amazing upsets and results and then the World Track and Field Championships in Budapest had many surprise wins. Sha’Carri Richardson’s 100-meter gold medal was all the more fantastic because the pundits did not even expect her to medal in the event – but then experts often get it wrong!

article thumbnail

Generative AI: Balancing security with innovation

CIO Business Intelligence

The speed at which artificial intelligence (AI)—and particularly generative AI (GenAI)—is upending everyday life and entire industries is staggering. Slowing the progression of AI may be impossible, but approaching AI in a thoughtful, intentional, and security-focused manner is imperative for fintech companies to nullify potential threats and maintain customer trust while still taking advantage of its power.

article thumbnail

Managing your cloud ecosystems: Migrating to a new Ubuntu operating system version

IBM Big Data Hub

Planning and managing your cloud ecosystem and environments is critical for reducing production downtime and maintaining a functioning workload. In the “Managing your cloud ecosystems” blog series, we cover different strategies for ensuring that your setup functions smoothly with minimal downtime. In the third blog of the series, we’re discussing migrating your worker nodes to a new Ubuntu operating system.

article thumbnail

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.

article thumbnail

7 ways to ensure the success of product-centric reliability

CIO Business Intelligence

As a fintech company, the reliability of our products and services is critical to ensuring that Discover® Financial Services customers can access their money, credit, and accounts when they need to. Like many other companies, Discover has adopted a product-centric approach where the responsibility for reliability sits with the product teams. My team at Discover Financial Services is responsible for digital payments.

article thumbnail

Unlocking AI’s Potential: Insights From Dataiku & Databricks on Data Quality, Collaboration, and the Rise of Generative AI

Dataiku

This article was written by our friends at Databricks. Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI.

article thumbnail

Fostering Innovation at Discover Financial Services

CIO Business Intelligence

Innovation has a different meaning for every organization. At Discover® Financial Services, it lies at the heart of the company’s business goals and growth. And it boils down to one core concept: a relentless commitment to improving the way people work and enhancing the careers of engineers. “Innovation is about modernization, it’s about optimization,” said Dan Gisolfi, Distinguished Engineer, Head of Innovation and Intellectual Property at Discover Financial Services.

article thumbnail

If You Want to Master Generative AI, Ignore All (But Two) Tools

KDnuggets

We have a bad case of generative AI fatigue.

108
108
article thumbnail

How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

article thumbnail

Next-Gen Graph Technology: A CDO Matters Podcast with Ontotext’s CMO Doug Kimball

Ontotext

Malcolm : So, tell us about Ontotext because I want to hear more about your company and what you do. And then from there, give us the elevator pitch of graph. Doug : Sure. I’m Doug Kimball, the Chief Marketing Officer at Ontotext. The company’s name may be less well known than what we deliver – GraphDB. We’ve been around for 20-plus years focusing on semantic knowledge graphs.

article thumbnail

Creating Visuals with Matplotlib and Seaborn

KDnuggets

Learn the basic Python package visualization for your work.

article thumbnail

What AI already does well in supply chain management

CIO Business Intelligence

Supply chains perform a series of actions starting with product design and proceeding to procurement, manufacturing, distribution, delivery, and customer service. “At each of these points lie big opportunities for AI and ML,” says Devavrat Bapat, Head of AI/ML data products at Cisco. That’s because the current generation of AI is already very good at two things needed in supply chain management.

article thumbnail

Building AI for business: IBM’s Granite foundation models

IBM Big Data Hub

It’s an exciting time in AI for business. As we apply the technology more widely across areas ranging from customer service to HR to code modernization, artificial intelligence (AI) is helping increasing numbers of us work smarter, not harder. And as we are just at the start of the AI for business revolution, the potential for improving productivity and creativity is vast.

Modeling 108
article thumbnail

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.

article thumbnail

How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. But in highly regulated industries where these technologies may be prohibited, the focus is less on off the shelf generative AI, and more on the relationship between their data and how AI can transform their business.

article thumbnail

Capacity Management and Amazon EMR Managed Scaling improvements for Amazon EMR on EC2 clusters

AWS Big Data

In 2022 , we told you about the new enhancements we made in Amazon EMR Managed Scaling , which helped improve cluster utilization as well as reduced cluster costs. In 2023, we are happy to report that the Amazon EMR team has been hard at work. We worked backward from customer requirements and launched multiple new features to enhance your Amazon EMR on EC2 clusters capacity management and scaling experience.

article thumbnail

People, processes, and technology shine bright on the road to digital transformation

CIO Business Intelligence

When I joined Discover® Financial Services in 2021, the company was executing its Runway: Mission 80,000 Feet vision to transform the engineering culture toward product-centricity. The vision was to enable a digital transformation by building a highly skilled engineering workforce, supporting discipline and employee experience, embracing extreme automation, enforcing a single agile way of working, and optimizing our technology and reliability.

article thumbnail

Extracting key insights from Amazon S3 access logs with AWS Glue for Ray

AWS Big Data

Customers of all sizes and industries use Amazon Simple Storage Service (Amazon S3) to store data globally for a variety of use cases. Customers want to know how their data is being accessed, when it is being accessed, and who is accessing it. With exponential growth in data volume, centralized monitoring becomes challenging. It is also crucial to audit granular data access for security and compliance needs.

article thumbnail

Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

article thumbnail

How product-centric engineering has revolutionized Discover

CIO Business Intelligence

A company’s journey to digital transformation heavily depends on the processes put in place to support the effort. You need the right people. You need the right technology. But without proper attention paid to the processes that support these — call it the third leg of the proverbial stool — the effort to modernize breaks down. Discover® Financial Services has taken its own journey toward digital transformation, starting with an emphasis on product-centricity (as opposed to project-based work).

article thumbnail

The Art of Financial Storytelling

Jet Global

Financial statements tell an important story, but they rarely tell the entire story. It often requires a sharp eye and a healthy measure of experience to elicit meaningful information from the numbers. Even people with keen financial acumen will have questions, and they can easily overlook important realities that lay buried somewhere within the details.

Finance 52