IBM Big Data Hub

APRIL 15, 2024

Rather than using traditional hacking methods, there has been a significant 71% surge in attacks where criminals are exploiting valid credentials to infiltrate systems. Their objective is straightforward: exploit the path of least resistance, often through unsuspecting employees, to obtain valid credentials.

Metrics 98

Metrics Measurement Risk Data Processing 98

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. As machine learning advances globally, we can only expect the focus on model risk to continue to increase.

Risk 111

Risk Modeling IT Risk Management 111

Octopai

APRIL 19, 2021

Without organized metadata management, the validity of a company’s data is compromised and they won’t achieve adequate compliance, data governance, or generate correct insights. Manual Data Lineage is a Thing of the Past Learn what Automated Data Lineage Can Do For Your BI & Analytics Team Download the eBook. IRM UK Connects.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

DataKitchen

JUNE 19, 2023

Our recent survey showed that 97% of data engineers report experiencing burnout in their day-to-day jobs. Perhaps we could just chill out in those stressful situations and “let go,” as the Buddha suggests. Given the complicated distributed systems we use to get value from data and the diversity of data, we need a simplifying framework.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

Domino Data Lab

FEBRUARY 4, 2021

The original container use case for data science focused on what I call, “environment management”. Getting models into production is a critical stage in the MLOps life cycle. What role does container technology play in getting ML/AI models into production? Container technology has changed the way data science gets done.

Modeling 130

Modeling Data Science Data Processing Software 130

DataKitchen

MARCH 12, 2024

I used to be very, very careful when changing anything data-related, but I think you’re starting to see that it’s not that big a deal anymore because [if something goes wrong] we can now figure out what happened pretty quickly, and we can adjust it.“ Data errors can cause compliance risks.

Metrics 120

Metrics Software Cost-Benefit Testing 120

IBM Big Data Hub

JANUARY 25, 2024

Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. The math demonstrates a powerful truth All predictive models, including AI, are more accurate when they incorporate diverse human intelligence and experience.

Predictive Modeling 93

Predictive Modeling Modeling Risk Statistics 93

IBM Big Data Hub

FEBRUARY 1, 2024

What are central bank digital currencies? For example, PSD2 states that the processing of personal information must comply with the GDPR and its principles of data minimization, which restricts the collection of personal information to what is necessary for transaction processing. Payment transaction privacy is also important.

Experimentation 103

Experimentation Modeling Finance Reporting 103

IBM Big Data Hub

MARCH 4, 2024

Figure 1: Transforming into an AI+ enterprise is at the core of what our team at IBM does An AI+ enterprise integrates AI as a first-class function across the business. Figure 1: Transforming into an AI+ enterprise is at the core of what our team at IBM does An AI+ enterprise integrates AI as a first-class function across the business.

Enterprise 109

Enterprise ROI Risk Strategy 109

DataRobot Blog

JULY 5, 2022

Cleaned and enriched geospatial data combined with geostatistical feature engineering provides substantial positive impact on a housing price prediction model’s accuracy. The question we’ll be looking at is: What is the predicted sale price for a home sale listing? Utah Spatial Modeling Process. Price Prediction Example.

Recreation/Entertainment 103

Recreation/Entertainment Machine Learning Predictive Modeling Sales 103

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 124

Marketing Strategy B2B Cost-Benefit 124

CIO Business Intelligence

OCTOBER 24, 2023

The capabilities of these new generative AI tools, most of which are powered by large language models (LLM), forced every company and employee to rethink how they work. First, there’s the internal demand to understand how your organization is going to adopt these new tools and what you need to do to avoid falling behind your competitors.

Cost-Benefit 126

Cost-Benefit Modeling Data Quality Statistics 126

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 87

Consulting Risk Modeling Testing 87

IBM Big Data Hub

OCTOBER 4, 2022

What is stopping AI adoption today? Multiple unsupported tools for building and deploying models. Multiple unsupported tools for building and deploying models. It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. It is an imperative. IBM Global AI Adoption Index 2022.).

Metadata 103

Metadata Risk Risk Management Experimentation 103

IBM Big Data Hub

MAY 31, 2023

Register for the free, virtual event What is Presto? What is PrestoCon Day? Register for PrestoCon Day The post Join us at PrestoCon Day, a free virtual community event appeared first on IBM Blog. The Presto Foundation is excited to share its upcoming virtual community conference PrestoCon Day , taking place on 7 June 2023.

Advertising 93

Advertising Optimization Data Analytics Reporting 93

IBM Big Data Hub

APRIL 8, 2024

Top CHROs are already at work on this challenge, using their comprehensive understanding of the workforce and how to design roles and skills within an operating model to best leverage the strengths of both humans and AI. Going forward, business leaders will also need to consider how to validate, test and certify these AI skills.

Unstructured Data 71

Unstructured Data Testing Strategy Technology 71

IBM Big Data Hub

JUNE 23, 2023

Generative AI empowers faster and better data-driven decisions based on historical data, market trends and the use of AI foundation models that identify patterns and anomalies often missed by traditional analysis methods. What is generative AI, what are foundation models, and why do they matter?

Finance 63

Finance Consulting Data-driven Risk 63

Rocket-Powered Data Science

JULY 19, 2023

The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage. What could be faster and easier than on-prem enterprise data sources? A similarly high percentage of tabular data usage among data scientists was mentioned here.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

Ontotext

APRIL 19, 2024

This depth of understanding of both statistical modeling and description and relationship logic of ontological modeling makes the company well suited to navigate the thicket of hybrid or neurosymbolic AI, in which statistical methods such as NLP and LLMs complement the symbolic logic in well-constructed knowledge graphs.

Metadata 52

Metadata Statistics Interactive Enterprise 52

IBM Big Data Hub

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Metrics 90

Metrics Machine Learning Risk Statistics 90

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Risk 79

Risk Modeling Management Metadata 79

IBM Big Data Hub

NOVEMBER 14, 2023

The platform can be automated through a standardized framework validated for Financial Services, leveraging the IBM Cloud Security and Compliance Center service (SCC). What are the benefits of Wazi as a service on IBM Cloud? This integration is crucial for modernizing core enterprise applications on hybrid cloud platforms.

Digital Transformation 104

Digital Transformation Testing Interactive Software 104

DataKitchen

FEBRUARY 21, 2023

With the detailed knowledge of the system now no longer at the company, the modification and the system were not adequately validated, and the updated system was not only late but producing bad data for two weeks until the problem was finally identified. What is Gartner’s advice for a new data engineering lead like Marcus?

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

Ontotext

FEBRUARY 9, 2024

Many NLQ systems nowadays leverage the potential of Large Language Models (LLMs) to translate a natural query into a query language. This blog post will present a NLQ integration for Ontotext GraphDB in LangChain: a framework designed to simplify the creation of applications using LLMs. climate WHERE { ?planet planet :climate ?climate.

Manufacturing 69

Manufacturing Modeling Interactive Business Intelligence 69

DataRobot Blog

MARCH 30, 2022

This blog is meant to be a fun take on predicting Song and Record of the Year for the 64th Annual GRAMMY Awards. First, as I’ve done in previous years, I model each award show separately, leveraging DataRobot’s modeling APIs to iterate through hundreds of blueprints. what percent of the words in the song are considered profane?

Modeling 98

Modeling Machine Learning Optimization IT 98

IBM Big Data Hub

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications. The retail industry can access IBM’s AI through three modes.

Unstructured Data 95

Unstructured Data Cost-Benefit Experimentation Machine Learning 95

IBM Big Data Hub

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Should the parameters of an algorithm be leaked, a third party may be able to copy the model, causing economic and intellectual property loss to the owner of the model.

Insurance 76

Insurance Risk Testing Data Quality 76

DataRobot Blog

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. Validating Machine Learning Models.

Risk 52

Risk Modeling Metrics Business Objectives 52

IBM Big Data Hub

MAY 9, 2023

So what is stopping AI adoption today? According to Gartner , 54% of models are stuck in pre-production because there is not an automated process to manage these pipelines and there is a need to ensure the AI models can be trusted. It is an imperative.

Metadata 80

Metadata Risk Experimentation Dashboards 80

IBM Big Data Hub

FEBRUARY 5, 2024

A group of 56 students has embarked on a unique journey into the world of model-based systems engineering (MBSE). MBSE unveiled: A paradigm shift in engineering methodology Model-based systems engineering represents a departure from conventional engineering approaches. In other words, MBSE elevates systems engineering by using models.

Technology 70

Technology Modeling Visualization Management 70

IBM Big Data Hub

JANUARY 16, 2024

To remain competitive in today’s relentlessly paced and ever-expanding marketplace, companies must think carefully about what products they’re developing and how they’re developing them, continuously iterating their processes to maintain a competitive edge. Why is a strong product development strategy important?

Strategy 85

Strategy Cost-Benefit Testing Manufacturing 85

erwin

OCTOBER 8, 2020

And as you make this transition, you need to understand what data you have, know where it is located, and govern it along the way. But even with the “need for speed” to market, new applications must be modeled and documented for compliance, transparency and stakeholder literacy. Automated Cloud Migration.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

Domino Data Lab

JULY 10, 2019

This blog post considers Ludwig, offering a brief overview of the package and providing tips for practitioners such as when to use Ludwig’s command-line syntax and when to use its Python API. This blog also provides code examples with a Jupyter notebook that you can download or run via hosting provided by Domino.

Deep Learning 110

Deep Learning Visualization Recreation/Entertainment Data Processing 110

IBM Big Data Hub

MAY 9, 2023

IBM’s announcement today of the Watsonx platform to power next generation foundation models for business is a prime example of how we are doubling down on the technology that will transform the enterprise. These successes validate IBM’s investment in our expanding ecosystem, which is gaining momentum each day.

Cost-Benefit 102

Cost-Benefit Software Strategy Enterprise 102

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. Shaun plans to clone the exemplified model linked from the report to his local environment.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? What Is Data Quality Management (DQM)? But first, let’s define what data quality actually is. What is the definition of data quality? Table of Contents. 2) Why Do You Need DQM? 3) The 5 Pillars of DQM. 4) Data Quality Best Practices. 5) How Do You Measure Data Quality?

Data Quality 241

Data Quality Metrics Data-driven Management 241

IBM Big Data Hub

AUGUST 18, 2023

What is cyber resilience? It offers more control and flexibility for comprehensive testing and validation. Whether dedicated or used in a managed-as-a-service consumption model, IBM can easily provide the expertise for a fully compliant cyber-resilient solution independent of the production environment with IBM Cloud Cyber Recovery.

Cost-Benefit 83

Cost-Benefit Testing Strategy Risk Management 83