IBM Big Data Hub

AUGUST 1, 2023

We are bringing the power of foundation models with the availability of a GPU as a service on IBM Cloud offering to help organizations tap into artificial intelligence (AI) in a secured environment while aiming to mitigate third- and fourth-party risk.

Digital Transformation 68

Digital Transformation Risk Data Processing Enterprise 68

BizAcuity

JULY 26, 2021

The hybrid cloud option gives the privilege to organizations to host their core, business-critical, and sensitive data on their private(on-premise servers) while shifting the remaining data and applications to the public cloud. Improved security and risk management. Reduced costs . Cons of moving to Hybrid cloud.

IT 52

IT Cost-Benefit Data Processing Risk 52

Smart Data Collective

FEBRUARY 2, 2021

To reduce this risk, companies should only keep the information they need and ensure that all necessary files are kept encrypted. Minimizing the locations where private data is stored is another effective strategy for eliminating risk. Yet many more affordable web hosts lack several of these features.

Data Processing 65

Data Processing Risk Uncertainty Strategy 65

Smart Data Collective

OCTOBER 26, 2019

In the event of a network shutdown or failure, it may take much longer to restore functionality (and therefore connection) to a cloud-hosted off-site backup. Closer sites for data storage mean lower cost, but a higher risk to the company. For enterprise-based users, this is not acceptable. Big Data Storage Concerns.

Big Data 45

Big Data Data Lake Cost-Benefit Measurement 45

bridgei2i

JULY 28, 2020

Today, I will be the host for our podcast, AI to impact, which covers everything about digital and AI, featuring some remarkable thought leadership, expert point of views and commentaries from a gamut of industry leaders. Transcript. Anushruti: Hi, everyone. Thank you for tuning in. I’m Anushruti Singh. Not just that.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Fun fact : I co-founded an e-commerce company (realistically, a mail-order catalog hosted online) in December 1992 using one of those internetworking applications called Gopher , which was vaguely popular at the time.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

SEPTEMBER 7, 2023

But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.

Insurance 79

Insurance Risk Data-driven Finance 79

CIO Business Intelligence

JUNE 14, 2023

There aren’t many events where a critical mass of Chief Information Security Officers gathers to exchange ideas about the current threat environment, key initiatives, etc. The annual Gartner Security and Risk Management Summit is one of them, and I’m looking forward to attending it this year.

Risk Management 92

Risk Management Data Processing Risk Management 92

CIO Business Intelligence

APRIL 28, 2022

And for anyone who cares about the risks to government, business, and individuals from software that is not secure — which should be everybody — the directives should be welcome. And if it’s not secure, your organization is at risk. And the federal Cyber Information Security Agency hosted a virtual conference titled SBOM-a-Rama on Dec.

Software 112

Software Risk Risk Management Manufacturing 112

CIO Business Intelligence

JANUARY 26, 2023

The tool is part of NetApp’s Spot constellation for cloud management and is responsible for cost management by tracking standard spending events, such as consumption, forecasting, and the rightsizing of instances. It will work across all major (and minor) clouds as well as pods hosted on premises.

Management 116

Management Forecasting Dashboards Optimization 116

DataRobot Blog

DECEMBER 20, 2022

The use of artificial intelligence (AI) in the investment sector is proving to be a significant disruptor, catalyzing the connection between the different players and delivering a more vivid picture of the future risk and opportunities across all different market segments. Real estate investments are not an exception.

Management 59

Management Machine Learning Optimization Modeling 59

CDW Research Hub

OCTOBER 4, 2019

With cloud computing, there is less perimeter to guard, but there is heightened attention to data security, risk management, monitoring and audits. Securing applications and minimizing risks to data are top SaaS security concerns. Security controls for hosting, building and consuming cloud service models. Access policies.

Modeling 40

Modeling Risk Digital Transformation Risk Management 40

DataRobot Blog

MARCH 7, 2023

Models trained in DataRobot can also be easily deployed to Azure Machine Learning, allowing users to host models easier in a secure way. Financial services organizations can use DataRobot AI Platform on Azure to solve business challenges, such as credit risk management, while remaining compliant with industry regulations.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59