IBM Big Data Hub

FEBRUARY 13, 2024

The compact design and touch-based interactivity seemed like a leap into the future. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Generative adversarial networks (GANs) or variational autoencoders (VAEs) are used for images, videos, 3D models and music.

Enterprise 124

Enterprise Modeling Testing Data-driven 124

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. You must detect when the model has become stale, and retrain it as necessary. The Core Responsibilities of the AI Product Manager. The AI Product Development Process.

Marketing 362

Marketing Experimentation Metrics Testing 362

CIO Business Intelligence

FEBRUARY 28, 2024

Essentially, the technology involves the replication of the human body in software models. Using these models, healthcare providers can test drugs and therapies with unprecedented speed and accuracy, reducing risks for both patients and physicians.

Informatics 121

Informatics Data-driven Digital Transformation Predictive Analytics 121

Ontotext

JANUARY 26, 2023

In today’s world, we increasingly interact with the environment around us through data. A major component of the developed solution for integrity checks is the semantic modeling of data. The post GraphDB in Action: Putting the Most Reliable RDF Database to Work for Better Human-machine Interaction appeared first on Ontotext.

Interactive 52

Interactive Metadata Data Integration Data-driven 52

O'Reilly on Data

JULY 11, 2023

He’s asking whether large language models eliminate programming as we know it, and he’s excited that the answer is “yes”: eventually, if not in the immediate future. Testing and debugging—well, if you’ve played with ChatGPT much, you know that testing and debugging won’t disappear. But what does this mean in practice?

Testing 248

Testing Software Visualization Interactive 248

IBM Big Data Hub

FEBRUARY 23, 2024

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. DL models can improve over time through further training and exposure to more data. billion by 2030.

Enterprise 104

Enterprise Interactive Data-driven Key Performance Indicator 104

IBM Big Data Hub

NOVEMBER 24, 2023

Discovery focuses on understanding legacy application, infrastructure, data, interaction between applications, services and data and other aspects like security. Subsequent phases are build and test and deploy to production. Swagger files), component relationship diagram and component interaction diagrams.

Cost-Benefit 98

Cost-Benefit Testing Data-driven Enterprise 98

IBM Big Data Hub

NOVEMBER 6, 2023

Service providers need technology systems with a centralized customer journey log that can track interactions, sentiment and next steps across every touchpoint to deliver a seamless customer experience. Generative AI can turn SMB needs into product use cases, and the appropriate tech systems can allow SMBs to test products in a sandbox.

Cost-Benefit 109

Cost-Benefit Enterprise ROI Data Warehouse 109

O'Reilly on Data

FEBRUARY 19, 2021

The data that powers ML applications is as important as code, making version control difficult; outputs are probabilistic rather than deterministic, making testing difficult; training a model is processor intensive and time consuming, making rapid build/deploy cycles difficult. ML presents a problem for CI/CD for several reasons.

Data Lake 289

Data Lake Data Warehouse Machine Learning Modeling 289

O'Reilly on Data

MAY 25, 2021

GPT-3 is essentially an auto-complete bot whose underlying Machine Learning (ML) model has been trained on vast quantities of text available on the Internet. I’d like to share my thoughts on GPT-3 in terms of risks and countermeasures, and discuss real examples of how I have interacted with the model to support my learning journey.

Modeling 346

Modeling Marketing Testing Machine Learning 346

CIO Business Intelligence

APRIL 5, 2024

California and Connecticut lead the pack One state to watch is California, partly because of its large population that interacts with businesses across the US, and partly because the state legislature there tends to be ahead of the pack on consumer protection issues. “There’s obviously going to be heightened scrutiny here across the board.”

Risk 132

Risk Interactive Insurance Strategy 132

erwin

SEPTEMBER 12, 2019

Strong internal business process modeling and management helps data-driven organizations compete and lead. The Value of Internal Business Process Modeling. Benefits of Internal Business Process Modeling and Management. In the book “Exponential Organizations” by Salim Ismail, Michael S.

Modeling 101

Modeling Cost-Benefit Data-driven Data Governance 101

erwin

SEPTEMBER 5, 2022

As with part 1 , part 2 ,and part 3 of this data modeling blog series, this blog also stresses that the cloud is not nirvana. Data modeling best practices. So, good relational design as covered in part 1 of this data modeling blog series holds true. Are there data modeling tools to assist with such an effort?

Modeling 52

Modeling Cost-Benefit Testing Data-driven 52

IBM Big Data Hub

SEPTEMBER 5, 2023

Developers require hands-on interaction with the tools they use—a deep relationship that makes the technology their own, even as they work in the cloud. Zowe offers developers modern interfaces to interact with z/OS, enabling them to work with the mainframe as they do in modern cloud environments. Open-source software.

Software 127

Software Testing Digital Transformation Interactive 127

IBM Big Data Hub

JANUARY 18, 2024

The latest artificial intelligence (AI) chatbots , also known as intelligent virtual assistants or virtual agents, not only understand natural conversations thanks to advanced language models but also proactively automate various tasks using conversational AI technology. ” The advantages of chatbots surround us.

Cost-Benefit 94

Cost-Benefit Interactive Sales Insurance 94

The Unofficial Google Data Science Blog

JANUARY 16, 2018

We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected. Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. This is known as the Stable Unit Treatment Value Assumption (SUTVA).

Testing 58

Testing Experimentation Measurement Modeling 58

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Model-driven DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

O'Reilly on Data

JANUARY 16, 2024

I recently chatted with ChatGPT, and I want to use that experience to reflect on the usability of voice interfaces for AI tools based on Large Language Models. These long solo drives were the perfect opportunity to test out ChatGPT’s voice feature because I couldn’t interact with the app using my hands for safety reasons.

Interactive 184

Interactive Recreation/Entertainment Visualization IT 184

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

IBM Big Data Hub

DECEMBER 8, 2023

It interacts with its environment, learns and supports service-based business models. ” The software can be developed and tested in the backend before being easily deployed into the vehicle or infrastructure. Finally, IBM Security® X-Force® Red provides specific automotive testing offerings.

Software 73

Software Testing Manufacturing Data-driven 73

O'Reilly on Data

JUNE 27, 2023

Doing so means giving the general public a freeform text box for interacting with your AI model. ” ) With a chatbot, the web form passes an end-user’s freeform text input—a “prompt,” or a request to act—to a generative AI model. The model is not deterministic. That leads us to the next step.

Risk Management 224

Risk Management Risk Management Modeling 224

CIO Business Intelligence

SEPTEMBER 13, 2023

Gearing up to build an app that taps the power of highly capable foundation models is not hard for any modern developer. And vectorizing any data to power those apps–including unique-to-your organization pools of your customer interaction data, proprietary work product, open data, or all three–isn’t hard either. And a good goal?

Uncertainty 105

Uncertainty Interactive Strategy Machine Learning 105

IBM Big Data Hub

NOVEMBER 14, 2023

To compound these issues, repeated surveys highlight “testing” as the primary area causing delays in project timelines. ” This cloud-native development and testing environment for z/OS applications is revolutionizing the modernization process by enabling secure DevSecOps practices.

Digital Transformation 101

Digital Transformation Testing Interactive Software 101

Sisense

JANUARY 14, 2021

VP of Business Intelligence Michael Hartmann describes the problem: “When an upstream data model change was introduced, it took a few days for us to notice that one of our Sisense charts was ‘broken.’ With that in mind, the developers at Billie came up with the idea to automatically test Sisense charts.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

CIO Business Intelligence

MARCH 15, 2022

Synthetic data is artificially generated information that can be used in place of real historic data to train AI models when actual data sets are lacking in quality, volume, or variety. Many models will decide that the most successful policy will be to label every transaction as non-fraudulent.”. Synthetic data use cases.

Strategy 145

Strategy Testing Modeling Sales 145

CIO Business Intelligence

MAY 16, 2023

SAP Digital Assistant could also operate as a browser extension or an additional task pane in Microsoft’s or Google’s productivity software, she said, enabling it to evaluate previous interactions with a customer and advise on composing an email.

Sales 114

Sales Software Interactive Enterprise 114

CIO Business Intelligence

MARCH 18, 2024

One such company has built a tool that predicts customer intent and behavior based on previous interactions and other market data. We are proceeding cautiously because the rise of LLMs [large language models] presents a new level of data security risk,” he says. “We AI tools rely on the data in use in these solutions. Nafde agrees.

Risk 133

Risk Cost-Benefit Data Processing Testing 133

IBM Big Data Hub

MAY 8, 2023

In my previous post , I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. The risk of privacy leakage from interaction with AI technologies is a major source of consumer concern and mistrust.

Insurance 72

Insurance Risk Testing Data Quality 72

IBM Big Data Hub

AUGUST 9, 2023

A phishing simulation is a cybersecurity exercise that tests an organization’s ability to recognize and respond to a phishing attack. Phishing tests are usually part of broader security awareness training led by IT departments or security teams. The only difference is that recipients who take the bait (e.g.,

Testing 79

Testing Measurement Behavioral Analytics Reporting 79

CIO Business Intelligence

SEPTEMBER 29, 2023

It is crucial to pinpoint where and how GenAI can generate tangible business value and how your customers will interact with it. GenAI models are trained on huge volumes of data. This means that good proprietary data leads to superior GenAI outcomes compared to pre-trained models. How will companies consume GenAI capabilities?

Machine Learning 131

Machine Learning Finance Strategy Testing 131

CIO Business Intelligence

OCTOBER 18, 2023

The context tests us and it’s necessary to reinvent ourselves every day.” Another important aspect in this interaction with customers is developing platforms that allow improvements in conversation flow, allowing long-term relationships and customer journeys to be strengthened.

Digital Transformation 128

Digital Transformation Insurance Interactive Sales 128

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

IBM Big Data Hub

NOVEMBER 29, 2023

Additionally, developments in both closed and open source large language models (LLM) are enhancing AI’s ability for understanding plain, natural language. Events as fuel for AI Models: Artificial intelligence models rely on big data to refine the effectiveness of their capabilities.

Unstructured Data 91

Unstructured Data Data-driven ROI Machine Learning 91

CIO Business Intelligence

FEBRUARY 2, 2023

The interactive conference will tackle themes of understanding generational differences, creating a vibrant workplace culture, and implementing innovations such as intelligent automation. Innovative IT leaders should be testing new models of work such as automation. National Labor Relations Board.

Recreation/Entertainment 98

Recreation/Entertainment Interactive Strategy Data-driven 98

CIO Business Intelligence

MARCH 6, 2024

The bank uses Adobe Automated Personalization Activity to build its data-led strategy, and is also exploring how Adobe’s Firefly tool, which is a gen AI model, can help enhance CX. When we buy things online, and we interact with automated technologies and AI, we don’t always want to be handled by a chatbot,” she says.

Interactive 131

Interactive Technology Strategy Consulting 131

IBM Big Data Hub

OCTOBER 2, 2023

The recent rise of generative artificial intelligence (AI) including large language models (LLMs) has inspired organizations in every industry to consider how AI can drive innovation. Leaders are increasingly recognizing the power of AI as well as its potential limitations and risks.

Consulting 84

Consulting Risk Modeling Testing 84