IBM Big Data Hub

JUNE 26, 2023

Imagine the possibilities of providing text-based queries and opening a world of knowledge for improved learning and productivity. What is generative AI? It uses vast amounts of internet data, large-scale pre-training and reinforced learning to enable surprisingly human like user transactions.

Risk 71

Risk Deep Learning Modeling Metadata 71

Dataiku

MARCH 25, 2024

When asked “What landmarks are visible in this cityscape?” In this blog post, we delve into the workings of M-LLMs, unraveling the intricacies of their architecture, with a particular focus on text and vision integration. Intrigued, you type in a question about the location, expecting a response from a fellow user.

Visualization 132

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IBM Big Data Hub

DECEMBER 16, 2022

It’s a fitting way to end what has been another big year for the industry. We recently launched IBM AI Governance , a solution designed to help companies get a better understanding of what’s going on below the surface of these systems. We’re at an exciting inflection point for AI. The potential is vast.

Uncertainty 118

Uncertainty Metadata Modeling Data Collection 118

CIO Business Intelligence

JUNE 20, 2023

In a previous blog , I described the three areas of product development and operation that HPE Aruba Networking focuses on when designing our products for IT efficiency and sustainable operations—like how products are made, how they work, and how they are being used. But what about the product lifecycle itself? That’s over $1.1

IT 120

IT Software Reporting Marketing 120

Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. This blog post hopes to provide this foundational understanding. What is Machine Learning.

Machine Learning 92

Machine Learning Sales Data Science Modeling 92

IBM Big Data Hub

SEPTEMBER 6, 2023

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. Thus, the tool has the potential to provide unexpected results.

Marketing 122

Marketing Strategy B2B Cost-Benefit 122

DataRobot

OCTOBER 22, 2021

In part one of our “Five Ways AI Can Help States Solve Their Hardest Problems” blog series, we reviewed the ramifications of crisis response management—or lack thereof—and how AI can help. State governments need to reinforce public trust in its institutions. These are just some examples of what AI can offer. WHITE PAPER.

Risk 98

Risk Risk Management Data-driven Management 98

datapine

FEBRUARY 9, 2023

Table of Contents 1) What Are White Label Reports? If you are interested in learning more about the topic, then keep reading. What Are White Label Reports? This shift is happening across industries and it is no different when it comes to data analysis and reporting. The answer is white labeling.

Dashboards 186

Dashboards Reporting Sales Software 186

datapine

MARCH 16, 2023

Table of Contents 1) What Are Bar Charts & Graphs? For that purpose, we are creating a series of blog posts that will take an in-depth look at the most common types of graphs and charts out there and explore their main uses through insightful business examples. What Are Bar Charts & Graphs?

Visualization 196

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Dataiku

APRIL 22, 2022

However, as focus on the triple bottom line (people, planet, profit) and sustainability increases, companies are now conducting reinforced scrutiny on all processes for increased economic and environmental efficiency. In this blog series, we will explore Frugal AI from the perspectives of data, design, trust, and sustainability.

Experimentation 59

Experimentation Modeling Business Objectives Manufacturing 59

Smart Data Collective

AUGUST 15, 2022

On the other hand, limited memory AI consists of machine learning models that can extract knowledge from previously learned facts, information, events, or stored data. Through the combination of AI and machine learning that gathers and analyzes behavioral, historical, and social data, brands can now better understand their customers.

Machine Learning 99

Machine Learning Sales Marketing Optimization 99

Domino Data Lab

MAY 15, 2019

It focuses on his ML product management insights and lessons learned. Machine Learning Projects are Hard: Shifting from a Deterministic Process to a Probabilistic One. Over the years, I have listened to data scientists and machine learning (ML) researchers relay various pain points and challenges that impede their work.

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

Cloudera

AUGUST 6, 2021

In the first of two blog posts, we delve into customer analytics to examine where data makes a difference in delivering an exceptional customer experience. . In the first of two blog posts, we delve into customer analytics to examine where data makes a difference in delivering an exceptional customer experience. . The list goes on.

Data-driven 103

Data-driven B2B Data Strategy Strategy 103

IBM Big Data Hub

NOVEMBER 3, 2023

If you are using Apache Kafka today, Apache Flink should be a crucial piece of your technology stack to ensure you’re extracting what you need from your real-time data. Apache Kafka acts as a sort of firehose of events, communicating what is always going on within your business. Stream processing is at the core of real-time data.

Cost-Benefit 78

Cost-Benefit Experimentation Testing Digital Transformation 78

IBM Big Data Hub

MAY 9, 2023

So what is stopping AI adoption today? At IBM, we believe that governing AI is the responsibility of every organization, and proper governance will help businesses build responsible AI that reinforces individual privacy. While the promise of AI isn’t guaranteed and may not come easy, adoption is no longer a choice.

Metadata 78

Metadata Risk Experimentation Dashboards 78

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Ontotext

APRIL 19, 2024

While reinforced learning with human feedback (RLHF) is valid for chatbots and LLMs, it’s just as valid for traditional machine learning and has been for decades,” Ivo says. A gold standard content corpus for benchmarking Once you have an enriched, annotated corpus, “that’s what you train your model against,” Ivo points out.

Metadata 52

Metadata Statistics Interactive Enterprise 52

Sisense

JULY 6, 2020

Sisense recently surveyed 500 companies to understand how they leverage data and analytics usage and the impact on future plans; the results reinforce how critical analytics are to businesses during times of crisis. At Sisense, we are working with customers who are reinforcing these points. This can be disorienting but also empowering.

Data-driven 81

Data-driven Uncertainty Reporting Analytics 81

datapine

JUNE 5, 2019

Let’s kick things off by asking the question: what is a data dashboard? Learn all about data dashboards with our executive bite-sized summary! What Is A Data Dashboard? So, what is a dashboard primary function? Now that we’ve asked the question, ‘what is a dashboard?’ Arthur Conan Doyle. Data is all around us.

Dashboards 316

Dashboards KPI Sales Visualization 316

Insight

APRIL 9, 2019

NASA [Public domain] In this blog, I’ll discuss how I worked collaboratively with various domain experts, using reinforcement learning to develop innovative solutions in rocket engine development. Multi-disciplinary product managers, however, are well-equipped to tackle this very challenge.

Manufacturing 75

Manufacturing Machine Learning Testing Software 75

Sisense

JANUARY 7, 2022

Smarter, AI-driven learning and development initiatives will help mitigate risk in our rapidly evolving world. Anna Lloyd, Director of Product at leading online learning provider, Learning Pool, says every organisation needs to undertake compliance management in some shape or form. Minimising risk by ‘infusing’ AI.

Risk Management 52

Risk Management Risk Management Dashboards 52

IBM Big Data Hub

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. We’re all amazed by what AI can do.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

DataRobot

NOVEMBER 12, 2021

This is a three part blog series in partnership with Amazon Web Services describing the essential components to build, govern, and trust AI systems: People, Process, and Technology. We’ve learned that people, process and technology are critical components to trusted AI systems. . The benefits of AI are immense.

Insurance 69

Insurance Risk Risk Management Manufacturing 69

Depict Data Studio

OCTOBER 26, 2021

In this blog post, you’ll learn from Elizabeth Dove. The course was great, and I’d like to share some of what I learned! I first learned this trick using Adobe software and was pleased it works in the Office suite too, so try it in whatever design software you use frequently if you haven’t already! It’s a snap.

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Visualization Experimentation Software Strategy 116

IBM Big Data Hub

AUGUST 9, 2023

This increased frequency and variety can help reinforce cybersecurity awareness while ensuring all employees remain vigilant against evolving phishing threats. Learn more about IBM QRadar SIEM *The Total Economic Impact of IBM Security QRadar SIEM is a commissioned study conducted by Forrester Consulting on behalf of IBM, April, 2023.

Testing 80

Testing Measurement Behavioral Analytics Reporting 80

Smarten

JUNE 14, 2023

While it has only recently received public attention, this deep learning model architecture was launched more than five years ago by The American Artificial Intelligence Organization (OpenAI), and recent innovations like ChatGPT are based on the latest version of GPT (GPT-4). The topic of Artificial Intelligence or AI is ubiquitous.

Optimization 52

Optimization IT Digital Transformation Consulting 52

DataRobot

OCTOBER 27, 2021

In part three of this blog series, we will examine how AI can help state governments streamline talent acquisition and why it is critical to the future of workforce development. . These decisions are also reinforced by transparent explanations and continuous improvement by the AI. AI-enabled Review Improves Candidate Quality.

Machine Learning 52

Machine Learning Modeling Reporting IT 52

IBM Big Data Hub

MARCH 29, 2024

Having them see marketing messages reinforces their interest in the products. By tracking what people say online, a company can follow up and solve the customers’ issues. Those that understand the importance of customer retention will invest in the necessary customer experience management. The calculation is that simple.

Strategy 65

Strategy Cost-Benefit Key Performance Indicator Marketing 65

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029. At Facebook Messenger, ML powers customer service chatbots.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

Smarten

APRIL 18, 2023

and GPT-4 families of large language models, and fine-tuned using supervised and reinforcement learning techniques. and GPT-4 families of large language models, and fine-tuned using supervised and reinforcement learning techniques. Today’s ChatGPT is only a promise of what is to come. So, where does that leave us?

Digital Transformation 52

Digital Transformation Experimentation ROI Technology 52

Alation

APRIL 5, 2022

That’s what Fifth Third Bank did. Reinforcement. Watch this webinar to learn more about the importance of engaging data consumers to participate in your data management and governance initiatives — and how Alation makes that participation possible. Not everyone has to be a data expert — leave that to the actual experts.

Data Governance 52

Data Governance Enterprise Management Data Quality 52

IBM Big Data Hub

JULY 10, 2023

It’s how prospects can learn about job responsibilities, perks and culture. Stage 5: Performance management To help the employee improve on weaknesses and build on their strengths, periodic performance reviews offer a chance to communicate what’s working, what needs improvement and how the company can help the employee succeed.

Key Performance Indicator 58

Key Performance Indicator Interactive Strategy Measurement 58

Cloudera

DECEMBER 16, 2020

In addition to vaccination record cards, clinics are also expected to report to state immunization registries about what vaccine was administered that allows them to run queries to find out where the patient got the first dose, as well as which vaccine was given. What to do with all that additional data. Reporting requirements.

Cost-Benefit 57

Cost-Benefit Insurance Reporting Testing 57

Cloudera

AUGUST 25, 2020

Thank you for joining us for part two of our discussion around data, analytics and machine learning within the Financial Service Sector Dr. Harmon. To start us off, what do you foresee as the biggest opportunities and challenges for Financial Services firms in the next three years? To capture the importance of sequencing of events.

Prescriptive Analytics 68

Prescriptive Analytics Technology Machine Learning Risk 68

Domino Data Lab

JULY 28, 2021

What is Data Science and How is it Used? What is Data Science and How is it Used? What are Data Scientists? Data science is a field at the convergence of statistics, computer science and business. Improvements in storage have made it possible to capture, manage and use this data in as fast as real time.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Domino Data Lab

OCTOBER 16, 2019

This article covers a couple of key Machine Learning (ML) vital signs to consider when tracking ML models in production to ensure model reliability, consistency and performance in the future. For additional vital signs and insight beyond what is provided in this article, attend the webinar. Machine learning models: running wild.

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Metrics Modeling Machine Learning Measurement 49

DataRobot Blog

NOVEMBER 15, 2022

At the DataRobot Booth at Big Data AI World Asia 2022 Chief Data Officers data scientists and IT leaders learned the latest in AI-driven business outcomes. What happens when you try to solve complex problems in silos—without the alignment of critical stakeholders? Automate with Rapid Iteration to Get to Scale and Compliance.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52