IBM Big Data Hub

MAY 8, 2023

For example, feeding a generative AI system such as Chat GPT with corporate data to produce a summary of confidential corporate research would mean that a data footprint would be indelibly left on the external cloud server of the AI and accessible to queries from competitors. Efficient and accurate AI requires fastidious data science.

Insurance 68

Insurance Risk Artificial Intelligence Government 68

erwin

JUNE 11, 2020

How Business Benefits from Data Intelligence. Traditional business models and processes can be detrimental to today’s evolving data-driven society. Businesses are then introduced to modern data science and data intelligence tools to enhance and fine-tune their products and processes. Expanding big data.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Marketing 48

Marketing Data science e-Discovery Analytics 48

IBM Big Data Hub

DECEMBER 20, 2023

Read more about IBM’s AI Ethics governance framework Benefits of a successful AI strategy Building an AI strategy offers many benefits to organizations venturing into artificial intelligence integration. Establish a data governance framework to manage data effectively. Attain buy-in for the proposed roadmap.

Artificial Intelligence 71

Artificial Intelligence Customer Experience Cloud Government 71

IBM Big Data Hub

OCTOBER 3, 2022

And with good reason: it’s a lot of data to process effectively, and not all AI systems are created with the proper ethical guardrails in place. Organizations need to be able to trust their data science outcomes. An AI system, especially one with such an impact on healthcare, must be fair, explainable, secure and transparent.

Risk 52

Risk Data science Insurance Cloud 52

IBM Big Data Hub

AUGUST 7, 2023

Additionally, biopharma companies may find themselves building out AI capabilities in-house sporadically and without overarching governance. Therefore, IBM observes that more clients tend to consult AI leaders to help establish governance and enhance AI and data science capabilities, an operating model in the form of co-delivery partnerships.

Healthcare 55

Healthcare Artificial Intelligence Data science Compliance 55

eSecurity Planet

DECEMBER 19, 2023

We each need to consider how these trends may affect our organizations and allocate our budgets and resources accordingly: AI will turbo-charge cybersecurity and cyberthreats: Artificial intelligence (AI) will boost both attackers and defenders while causing governance issues and learning pains.

Cybersecurity 140

Cybersecurity Cloud Ransomware Risk 140

IBM Big Data Hub

FEBRUARY 22, 2024

Artificial intelligence (AI) is transforming society, including the very character of national security. The DoD can lay a sturdy foundation to accomplish this by improving AI literacy and partnering with trusted organizations to develop governance aligned to its strategic goals and values.

Artificial Intelligence 92

Artificial Intelligence Metadata Military Government 92

IBM Big Data Hub

NOVEMBER 13, 2023

But Docker lacked an automated “orchestration” tool, which made it time-consuming and complex for data science teams to scale applications. HPC uses powerful processors at extremely high speeds to make instantaneous data-driven decisions.

Cloud 108

Cloud e-Delivery Big data e-Discovery 108

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Data science 71

Data science Manufacturing Artificial Intelligence Retail 71

ARMA International

SEPTEMBER 13, 2021

For example, re-packing corporate records can help weave a narrative to promote a brand, enhance corporate social responsibility outreach programs, improve employee loyalty, enhance diversity, equality and inclusion training, and highlight environment, social and governance initiatives. Content Marketing Platforms (CMP).

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Metadata 63

Metadata MDM Analytics Compliance 63

IBM Big Data Hub

JANUARY 17, 2023

At the core of a data lakehouse architecture includes the storage, metadata service and the query engine, and typically a data governance component made up of a policy engine and a data dictionary. In an open data lakehouse an open data governance approach is also supported.

Metadata 52

Metadata Analytics Unstructured data Government 52

IBM Big Data Hub

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. “IBM’s launch of watsonx was an awakening, and it has inspired us to deliver unprecedented innovations for our clients.”

Analytics 62

Analytics Data science Cloud Metadata 62

IBM Big Data Hub

SEPTEMBER 20, 2023

These include data ingestion, data selection, data pre-processing, FM pre-training, model tuning to one or more downstream tasks, inference serving, and data and AI model governance and lifecycle management—all of which can be described as FMOps.

Cloud 83

Cloud Data science Artificial Intelligence Analytics 83

IBM Big Data Hub

MAY 9, 2023

The early use cases that we have identified range from digital labor, IT automation, application modernization, and security to sustainability. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.

Artificial Intelligence 106

Artificial Intelligence Cloud Metadata Access 106

IBM Big Data Hub

SEPTEMBER 11, 2023

Built on decades of innovation in data security, scalability and availability, IBM Db2 keeps business applications and analytics protected, highly performant, and resilient, anywhere. Thankfully, the IBM Z platform is designed to be one the most securable platforms.

Analytics 85

Analytics Cloud IoT Paper 85

IBM Big Data Hub

JULY 5, 2023

This was, without a question, a significant departure from traditional analytic environments, which often meant vendor-lock in and the inability to work with data at scale. Another unexpected challenge was the introduction of Spark as a processing framework for big data. Comprehensive data security and data governance (i.e.

Analytics 60

Analytics Metadata Data migration Data science 60

IBM Big Data Hub

SEPTEMBER 25, 2023

They set up a couple of clusters and began processing queries at a much faster speed than anything they had experienced with Apache Hive, a distributed data warehouse system, on their data lake. As Uber has done with many of its additions to Presto, they contributed their security upgrades back to the open source Presto project.

Analytics 87

Analytics Access Data science IT 87