Bill Schmarzo - Dell EMC

FEBRUARY 6, 2018

I was recently asked to conduct a 2-hour workshop for the State of California Senior Legislators on the topic of “Big Data, Artificial Intelligence and Privacy.” We have historical experiences and references to revisit in discerning what the government can do to nurture our “Analytics Revolution.”

Big data 87

Big data Artificial Intelligence Government Privacy 87

IBM Big Data Hub

MAY 9, 2023

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. Challenges around managing risk and reputation Customers, employees and shareholders expect organizations to use AI responsibly, and government entities are starting to demand it.

Data science 79

Data science Artificial Intelligence Metadata Compliance 79

IBM Big Data Hub

DECEMBER 20, 2023

Artificial intelligence (AI) is a transformative force. The automation of tasks that traditionally relied on human intelligence has far-reaching implications, creating new opportunities for innovation and enabling businesses to reinvent their operations. What is an AI strategy?

Artificial Intelligence 80

Artificial Intelligence Customer Experience Cloud Government 80

Collibra

JUNE 2, 2022

The use of Artificial Intelligence (AI) is gaining momentum in healthcare. Since AI relies heavily on data, the integrity and quality of the underlying data upon which AI models are trained is critical to ensure accuracy and remove the risk of model bias and opacity. Additionally, is the data from a trustworthy source.

Government 52

Government Cloud Data science Metadata 52

IBM Big Data Hub

OCTOBER 16, 2023

As companies increase their use of artificial intelligence (AI), people are questioning the extent to which human biases have made their way into AI systems. What is bias in artificial intelligence? In all, debiasing is proving to be among the most daunting obstacles, and certainly the most socially fraught, to date.”

Artificial Intelligence 77

Artificial Intelligence Government Data science Data collection 77

Bill Schmarzo - Dell EMC

FEBRUARY 6, 2018

I was recently asked to conduct a 2-hour workshop for the State of California Senior Legislators on the topic of “ Big Data , Artificial Intelligence and Privacy.” We have historical experiences and references to revisit in discerning what the government can do to nurture our “Analytics Revolution.”

Big data 40

Big data Artificial Intelligence Government Privacy 40

IBM Big Data Hub

MAY 8, 2023

Artificial intelligence (AI) is polarizing. Mitigating the AI risks The risks posed by AI adoption highlights the need to develop a governance approach to mitigate the technical and usage risk that comes from adopting AI. Efficient and accurate AI requires fastidious data science.

Insurance 75

Insurance Risk Artificial Intelligence Government 75

IBM Big Data Hub

SEPTEMBER 20, 2022

Organizations are increasingly depending upon artificial intelligence (AI) and Machine Learning (ML) to assist humans in decision making. Automated, integrated data science tools help build, deploy, and monitor AI models. Processes that provide AI governance.

Data science 57

Data science Metadata Government Access 57

Data Matters

JUNE 27, 2022

The conference coincided with London Tech Week, during which Chris Philp, UK Minister for Tech and the Digital Economy, unveiled a new UK Digital Strategy: the UK government’s vision for regulating digital markets, involving a monitoring framework and outcomes-focused regulation.

Marketing 158

Marketing Data science Privacy Artificial Intelligence 158

Collibra

AUGUST 23, 2023

As the data intelligence company, we’ve long anticipated broad adoption of AI, and Collibrians with data science and machine learning expertise have been working diligently on ways to apply AI/ML. AI will undeniably reinforce the requirement for data governance.”

Communications 95

Communications Data science Marketing Artificial Intelligence 95

IBM Big Data Hub

MAY 18, 2023

“What these enterprises need,” the report states, “is a platform that can simultaneously enable them to harness the power of AI while enhancing and governing it with well-proven and trusted human business expertise.”

Data science 96

Data science Customer Experience Marketing Cloud 96

IBM Big Data Hub

AUGUST 7, 2023

Failure to share data and results from randomized clinical trials means a missed opportunity to contribute to systematic reviews and meta-analyses as well as a lack of lesson-sharing with the biopharma community.

Healthcare 61

Healthcare Artificial Intelligence Data science Compliance 61

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. Traditional business models and processes can be detrimental to today’s evolving data-driven society. Data quality management.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

eSecurity Planet

JULY 16, 2021

The FireEye Mandiant Automated Defense module – which will soon be spun off under the Mandiant name – combines data from the security stack with data science and machine learning capabilities to triage alerts, automatically eliminating events that don’t matter, and revealing the ones that do. FireEye Mandiant.

Analytics 114

Analytics Data science Cloud Artificial Intelligence 114

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.

Marketing 51

Marketing Data science e-Discovery Artificial Intelligence 51

Information Governance Perspectives

DECEMBER 3, 2018

I interviewed him this November to discuss his thoughts on the evolution of metadata, content classification, AI, and how companies are using the new pillars of data science to break down their silos, help customers get lean and discover the hidden values in their big data sets.

Analytics 49

Analytics Data science Big data Metadata 49

OpenText Information Management

JUNE 29, 2018

When it comes to writing machine learning algorithms leveraging the Apache Spark framework, the data science community is fairly divided as to which language is best suited for writing programs and applications.

Data science 40

Data science Artificial Intelligence IT Big data 40

Schneier on Security

NOVEMBER 14, 2019

Consider artificial intelligence (AI). Or, more specifically, where and how should government step in and regulate what is largely a market-driven industry? They come from the social sciences and from computer science. They work in data science, or tech policy, or public-focused computer science.

Artificial Intelligence 86

Artificial Intelligence Data science Government Marketing 86

Information Governance Perspectives

DECEMBER 3, 2018

I interviewed him this November to discuss his thoughts on the evolution of metadata, content classification, AI, and how companies are using the new pillars of data science to break down their silos, help customers get lean and discover the hidden values in their big data sets.

Analytics 40

Analytics Data science Big data Metadata 40

CILIP

OCTOBER 8, 2019

Now we are in a place where Big Data and Artificial Intelligence (AI) are the ideas that are set to launch the next big thing. New conference, ConTech, which takes place in December and is in its second year aims to capitalise on the buzz about data and AI for anyone working with content ? Content delivery pioneers.

e-Delivery 40

e-Delivery Libraries Data science Artificial Intelligence 40

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 103

Artificial Intelligence Metadata Military Government 103

IBM Big Data Hub

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions provide new clients with affordable and high impact capabilities to expeditiously explore and validate the path to become a data-driven enterprise. IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture.

Data science 57

Data science Cloud Government Analytics 57

ARMA International

SEPTEMBER 13, 2021

The nomenclature can extend to include Data as a Service (DaaS), Content as a Service (CaaS), and Managed Content as a Service (MCaaS) to deliver digital interaction experiences to customers. More recent technology trends include Blockchain as a Service (BaaS) and Artificial Intelligence as a Service (AIaaS).

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. All of this supports the use of AI.

Metadata 86

Metadata Analytics Artificial Intelligence Data science 86

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

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Data science 80

Data science Manufacturing Artificial Intelligence Retail 80

IBM Big Data Hub

FEBRUARY 8, 2023

Adherence to responsible artificial intelligence (AI) standards follows similar tenants. Gartner predicts that the market for artificial intelligence (AI) software will reach almost $134.8 This necessitates the detection of bias during data acquisition, building, training, deploying and monitoring models.

Artificial Intelligence 52

Artificial Intelligence Compliance Analytics Government 52

Collibra

AUGUST 7, 2020

It is because they foster more agile data operations, cut through siloed architectures and unlock the potential of artificial intelligence and machine learning to drive new trusted business insights. . Why does data need governance on a cloud platform? Compliance: poor data governance can also pose risks.

Cloud 81

Cloud Government Unstructured data Analytics 81

Reltio

JULY 2, 2019

Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. Selected for the last 5 years as a member of the Data IQ Data 100 , Martin has considerable experience helping organisations drive value from building a deeper understanding of their customers.

Analytics 58

Analytics Insurance Artificial Intelligence Data science 58

IBM Big Data Hub

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications.

Cloud 91

Cloud Data science Artificial Intelligence Analytics 91

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Analytics 68

Analytics Data science Cloud Metadata 68

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 118

Cloud e-Delivery Big data e-Discovery 118

IBM Big Data Hub

MAY 9, 2023

Today is a revolutionary moment for Artificial Intelligence (AI). It offers its users advanced machine learning, data management , and generative AI capabilities to train, validate, tune and deploy AI systems across the business with speed, trusted data, and governance.

Artificial Intelligence 109

Artificial Intelligence Cloud Metadata Access 109

IBM Big Data Hub

JULY 13, 2023

Data quality and integrity are vital to a data-driven organization that employs analytics for business decisions, offers self-service data access for internal stakeholders and provides data offerings to customers. Data science tasks such as machine learning also greatly benefit from good data integrity.

Metadata 69

Metadata MDM Analytics Compliance 69

OpenText Information Management

AUGUST 28, 2018

Streaming Analytics is the ability to continuously process, manage, monitor, enrich and perform real-time analysis on live streaming data (typically from sensors and other components of the Internet of Things [IoT]).

Analytics 64

Analytics IoT Access Data science 64

OpenText Information Management

JUNE 2, 2018

Apache Spark is a widely used open source engine for performing large-scale data processing and machine learning computations. OpenText™ Magellan™ provides an open platform with Apache Spark already integrated so it that can easily run on Hadoop clusters.

IT 40

IT Data science Artificial Intelligence Big data 40

IBM Big Data Hub

SEPTEMBER 11, 2023

watsonx.data integration At Think, IBM announced watsonx.data as a new open, hybrid and governed data store optimized for all data, analytics, and AI workloads. It is built on open data lakehouse architecture and brings together the commodity Cloud Object Store, open data/table formats and open-source query engines.

Analytics 92

Analytics Cloud IoT Paper 92