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. Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage.

Insurance 77

Insurance Risk Testing Data Quality 77

Smart Data Collective

AUGUST 30, 2022

The market for cloud technology is booming. Enterprise cloud technology applications are the future industry standard for corporations. Here’s how enterprises use cloud technologies to achieve a competitive advantage in their essential business applications. Companies spent over $405 billion on cloud services last year.

Technology 133

Technology Enterprise Cost-Benefit Testing 133

CIO Business Intelligence

OCTOBER 24, 2023

The paradigm shift towards the cloud has dominated the technology landscape, providing organizations with stronger connectivity, efficiency, and scalability. Cloud applications, in essence, have become organizations’ crown jewels and developers are measured on how quickly they can build and deploy them.

Modeling 119

Modeling Risk Reporting Machine Learning 119

IBM Big Data Hub

APRIL 19, 2024

Asset management and technological innovation Advancements in technology underpin the need for holistic grid asset management, making the assets in the grid smarter and equipping the workforce with smart tools. Cybersecurity reduces risk exposure for cyberattacks on digitally connected assets.

Management 96

Management Internet of Things Risk IoT 96

CIO Business Intelligence

DECEMBER 19, 2023

Their steady income stream and relatively low risk compared to equities make them an especially important component of pension and retirement planning. Each type of issuer presents a different level of risk and tax treatment. Hexaware conducted extensive fine-tuning to adapt the model to different industries and company types.

Risk 52

Risk Cost-Benefit Unstructured Data Data-driven 52

Decision Management Solutions

APRIL 23, 2019

In February, we published a blog post on “Using Technology to Add Value in Insurance”. In that post, I referenced Matt Josefowticz’s article – Technology May be the Answer for Insurers, but What Was the Question? , Let’s dive into greater detail on the second lever – Manage Risk Better.

Insurance 69

Insurance Risk Technology Management 69

CIO Business Intelligence

JULY 20, 2023

I’ll never forget the look on my first mortgage clients’ faces as they signed for their new home – the joy and relief washing over them in equal measure. Workflow automation and data analytics are streamlining document management, cross-checking data, assessing for risk, ensuring regulatory compliance, and so on. Security and privacy.

Technology 98

Technology Finance Advertising Digital Transformation 98

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Smart Data Collective

FEBRUARY 14, 2023

Businesses around the world spent over $545 billion on cloud technology last year. However, it is important to understand the benefits and risks associated with cloud computing before making the commitment. We published a post in the past on some of the companies that have benefited from cloud technology.

Risk 98

Risk Cost-Benefit Software Technology 98

O'Reilly on Data

JUNE 15, 2023

The world changed on November 30, 2022 as surely as it did on August 12, 1908 when the first Model T left the Ford assembly line. Within two months, ChatGPT had over a hundred million users—faster adoption than any technology in history. Should we risk loss of control of our civilization?” The hand wringing soon began.

Metrics 284

Metrics Reporting Measurement Finance 284

O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Smart Data Collective

AUGUST 9, 2022

The risk of data breaches is rising sharply. Fortunately, new technology can help enhance cybersecurity. Big data technology is becoming more important in the field of cybersecurity. However, Agile technology defies this rule of thumb, especially when developers leverage big data effectively.

Big Data 111

Big Data Technology Testing Cost-Benefit 111

Alation

JANUARY 9, 2023

Alation joined with Ortecha , a data management consultancy, to publish a white paper providing insights and guidance to stakeholders and decision-makers charged with implementing or modernising data risk management functions. The Increasing Focus On Data Risk Management. Download the complete white paper now.

Risk Management 52

Risk Management Risk Management Metadata 52

Ontotext

APRIL 3, 2024

So, this is a big driver for the outcome because when you are saving money for the business, you can measure it and see its value. Nimit Mehta : You are talking about the three big ones: cost, revenue, and risk. And, when you get to the top, it’s about risks and existential threats to the business. They are the best.”

Technology 59

Technology Risk Digital Transformation Measurement 59

CIO Business Intelligence

FEBRUARY 7, 2024

Key AI companies have told the UK government to speed up its safety testing for their systems, raising questions about future government initiatives that too may hinge on technology providers opening up generative AI models to tests before new releases hit the public.

Testing 124

Testing Reporting Risk Modeling 124

CIO Business Intelligence

MARCH 25, 2024

Cybersecurity in UAE’s companies is one of the top priorities; new work models and growing cyber threats have caused companies to dedicate more staff and capital to mitigating these types of risks. Dr. Mohamed Al Kuwaiti, Head of Cyber Security for the UAE Government.

IT 111

IT Reporting Risk Data-driven 111

O'Reilly on Data

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In this post, I’ll describe some of the core technologies and tools companies are beginning to evaluate and build. Graph technologies and analytics. Foundational data technologies.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

O'Reilly on Data

APRIL 23, 2024

The answer can be found in the theory of economic rents, and in particular, in the kinds of rents that are collected by companies during different stages of the technology business cycle. Then the cycle begins again with a new class of competitors, who are forced to explore new, disruptive technologies that reset the entire market.

Advertising 270

Advertising Cost-Benefit Marketing Risk 270

CIO Business Intelligence

MAY 2, 2024

Security and risk management pros have a lot keeping them up at night. Then, you can develop a strategy that integrates advanced technologies to help you prevent (not just detect) them. And the only way to do this is to leverage advanced security technologies such as mobile cryptography.

Strategy 111

Strategy Risk Management Risk Measurement 111

IBM Big Data Hub

APRIL 15, 2024

Organizations have spent millions developing and implementing cutting-edge technologies to bolster their defenses against such threats, and many already have security awareness campaigns, so why are we failing to stop these attacks? First, we need to know employees’ capabilities.

Metrics 99

Metrics Measurement Risk Data Processing 99

CIO Business Intelligence

MARCH 3, 2024

Worse, it said “adversaries are accelerating and widening their range of sophisticated attacks at scale through automation, cybercrime-as-a-service models, impersonations and adaptation.” And only 45 percent of CISOs were very or somewhat concerned about the risks of unsecured printers, compared to 72 percent of CIOs. Using zero trust.

IT 111

IT Measurement Risk Testing 111

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. All predictive models are wrong at times?—just

Risk 359

Risk Modeling Data Processing Software 359

CIO Business Intelligence

OCTOBER 10, 2022

Transformational leaders are change agents in the business, who can identify innovative and shifting trends in technology, and then help the organization embrace that change. Bass further expanded the concept to include ways for measuring the success of transformational leadership. Transformational leadership model.

Modeling 145

Modeling Digital Transformation Software Manufacturing 145

CIO Business Intelligence

MARCH 5, 2024

India’s Ministry of Electronics and Information Technology (MeitY) has caused consternation with its stern reminder to makers and users of large language models (LLMs) of their obligations under the country’s IT Act, after Google’s Gemini model was prompted to make derogatory remarks about Indian Prime Minister Narendra Modi.

Testing 128

Testing Modeling Cost-Benefit Reporting 128

CIO Business Intelligence

AUGUST 30, 2023

In my previous column in May, when I wrote about generative AI uses and the cybersecurity risks they could pose , CISOs noted that their organizations hadn’t deployed many (if any) generative AI-based solutions at scale. Today, it is, as they create a mysterious new risk and attack surface to defend against.

Enterprise 132

Enterprise Risk Measurement Software 132

IBM Big Data Hub

APRIL 24, 2024

Large language models (LLMs) may be the biggest technological breakthrough of the decade. While researchers have not yet found a way to completely prevent prompt injections, there are ways of mitigating the risk. Instead, they can write system prompts, natural-language instructions that tell the AI model what to do.

Risk 95

Risk Modeling Measurement Enterprise 95

IBM Big Data Hub

MARCH 25, 2024

Get the study: The Revolutionary Content Supply Chain A content supply chain brings together people, processes, and technology to effectively plan, create, produce, launch, measure, and manage content. The FOGI concern revolves around trust, and whether they can trust the AI tools and technology to augment employees.

Uncertainty 109

Uncertainty Cost-Benefit Risk Measurement 109

CIO Business Intelligence

MARCH 18, 2024

Developers of risky generative AI models are now free to release them without government approval, but are being encouraged to self-regulate by adding labels to the output of their models warning of their potential unreliability. I think regulations are needed, especially considering this technology’s impact on people.

Metadata 93

Metadata Visualization Modeling Risk 93

Rocket-Powered Data Science

FEBRUARY 15, 2023

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

IBM Big Data Hub

JUNE 8, 2023

Technology, when harnessed effectively, can provide innovative solutions such as those that help to protect and restore reefs. Together with IBM’s support, the aim is leveraging data from the ocean and technology, and taking the project to the next level.

Technology 87

Technology Measurement Cost-Benefit Data-driven 87

IBM Big Data Hub

FEBRUARY 20, 2024

These proactive measures are made possible by evolving technologies designed to help people adapt to the effects of climate change today. Climate models provide answers Human activities precipitated changes to the Earth’s climate in the 20th century and will largely determine the future climate.

Modeling 125

Modeling Forecasting Reporting Risk 125

CIO Business Intelligence

APRIL 25, 2024

There is a promising surge in the use of AI technologies across various industries. This transition has propelled AI and machine learning to the forefront, with 51% of CIOs identifying these technologies as among their most urgent priorities, alongside cybersecurity, highlighting their crucial role in driving organizational success.

ROI 136

ROI Cost-Benefit Machine Learning Technology 136

O'Reilly on Data

JULY 28, 2020

The Ethical OS also provides excellent tools for thinking through the impact of technologies. These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. Any metric can and will be abused.

Marketing 362

Marketing Experimentation Metrics Testing 362

IBM Big Data Hub

MARCH 4, 2024

Generative AI (gen AI) introduces transformative innovation to all aspects of a business; from the front to the back office, through ongoing technology modernization, and into new product and service development. Consider the following: Do you need a public foundation model? times higher ROI. Often, this decision is made too quickly.

Enterprise 110

Enterprise ROI Risk Strategy 110

erwin

MARCH 24, 2020

Disaster recovery is not just an event but an entire process defined as identifying, preventing and restoring a loss of technology involving a high-availability, high-value asset in which services and data are in serious jeopardy. What questions need answering regarding planning and executing disaster recovery measures?

Modeling 97

Modeling Data Processing Software Finance 97

Smart Data Collective

SEPTEMBER 11, 2020

Savvy technology evangelists recognize the importance of AI in the 21 st Century, especially as Internet technology continues to evolve. Networking technologies have been in existence for many decades with a singular purpose – the improvement of data transmission and circulation through the use of information systems.

Technology 97

Technology IoT Internet of Things Cost-Benefit 97

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. Contextual Relevance: Ensuring the data fed into LLMs is contextually relevant is paramount.

Data Quality 120

Data Quality Unstructured Data Testing Modeling 120