O'Reilly on Data

MARCH 31, 2020

Instead of writing code with hard-coded algorithms and rules that always behave in a predictable manner, ML engineers collect a large number of examples of input and output pairs and use them as training data for their models. Machine learning adds uncertainty. Models also become stale and outdated over time.

Management 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

NOVEMBER 1, 2024

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. Gen AI is quite different because the models are pre-trained,” Beswick explains.

IT 122

IT Insurance Consulting Risk 122

Smart Data Collective

MARCH 2, 2023

As a result, they will need to invest in data analytics tools to sustain a competitive edge in the face of growing economic uncertainty. Therefore, it is a good idea to have predictive analytics models that account for these variables. However, there are even more important benefits of using big data during a bad economy.

Big Data 105

Big Data Uncertainty Risk Data mining 105

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 290

Strategy Experimentation Uncertainty Machine Learning 290

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. Should we risk loss of control of our civilization?” The creators of generative AI systems and Large Language Models already have tools for monitoring, modifying, and optimizing them.

Metrics 354

Metrics Reporting Measurement Finance 354

CIO Business Intelligence

NOVEMBER 1, 2024

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. Gen AI is quite different because the models are pre-trained,” Beswick explains.

IT 105

IT Insurance Consulting Risk 105

O'Reilly on Data

SEPTEMBER 15, 2020

In my book, I introduce the Technical Maturity Model: I define technical maturity as a combination of three factors at a given point of time. Technical competence results in reduced risk and uncertainty. AI initiatives may also require significant considerations for governance, compliance, ethics, cost, and risk.

Advertising 357

Advertising Cost-Benefit ROI Machine Learning 357

CIO Business Intelligence

AUGUST 24, 2023

Gen AI has the potential to magnify existing risks around data privacy laws that govern how sensitive data is collected, used, shared, and stored. We’re getting bombarded with questions and inquiries from clients and potential clients about the risks of AI.” The risk is too high.” Not without warning signs, however.

Uncertainty 98

Uncertainty Risk Testing Enterprise 98

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. .

Risk 100

Risk Optimization Management Insurance 100

O'Reilly on Data

JULY 20, 2021

When we’re building shared devices with a user model, that model quickly runs into limitations. That model doesn’t fit reality: the identity of a communal device isn’t a single person, but everyone who can interact with it. When we consider the risk associated with an action, we need to understand its privacy implications.

Risk 335

Risk Software Interactive Modeling 335

bridgei2i

JUNE 2, 2020

Episode 7: The Impact of COVID-19 on Financial Services & Risk. The Impact of COVID-19 on Financial Services & Risk Management. And then there’s uncertainty on when this will come back to normal, what will it settle down as, etc. As past data isn’t relevant anymore, current models aren’t going to work.

Risk Management 128

Risk Management Risk Enterprise Management 128

O'Reilly on Data

DECEMBER 9, 2019

Recall from my previous blog post that all financial models are at the mercy of the Trinity of Errors , namely: errors in model specifications, errors in model parameter estimates, and errors resulting from the failure of a model to adapt to structural changes in its environment.

Statistics 30

Statistics Uncertainty Risk Marketing 30

Jedox

APRIL 21, 2020

Swift changes are forcing management to rethink operating models. In the face of unprecedented uncertainty, the question is how to quickly evaluate risk, opportunities and competitively allocate capital. This requires modeling, not casual empiricism. In the face of uncertainty, investor relations are paramount.

Uncertainty 52

Uncertainty Modeling Management Finance 52

CIO Business Intelligence

AUGUST 15, 2024

The next generation of M&A strategy brings emerging digital capabilities to the forefront in support of both opportunities and risk mitigation. Use valuation and diligence activities to establish governance and capture all risk elements even if they appear to be mitigated.

Uncertainty 111

Uncertainty Risk Strategy Cost-Benefit 111

CIO Business Intelligence

APRIL 1, 2024

Deloitte 2 meanwhile found that 41% of business and technology leaders said a lack of talent, governance, and risks are barriers to broader GenAI adoption. However such fear, uncertainty, and doubt (FUD) can make it harder for IT to secure the necessary budget and resources to build services. Right-size your model(s).

Uncertainty 142

Uncertainty Data Lake Consulting Risk 142

CIO Business Intelligence

JULY 18, 2022

According to John-David Lovelock, research vice president at Gartner, inflationary pressures are top-of-mind for most IT decision-makers at the moment, which creates a degree of uncertainty—high prices today could become even higher tomorrow. in 2022, according to Gartner.

IT 144

IT Uncertainty Data-driven Sales 144

CIO Business Intelligence

DECEMBER 5, 2024

AI faces a fundamental trust challenge due to uncertainty over safety, reliability, transparency, bias, and ethics. Governance implications for key gen AI use cases Some key use cases for generative AI include increasing productivity, improving business functions, reducing risk, and boosting customer engagement.

Cost-Benefit 59

Cost-Benefit Uncertainty Marketing Risk 59

Cloudera

JUNE 1, 2021

In summary, the next chapter for Cloudera will allow us to concentrate our efforts on strategic business opportunities and take thoughtful risks that help accelerate growth. It also means we can complete our business transformation with the systems, processes and people that support a new operating model. . Our strategy.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

DataRobot

AUGUST 5, 2021

After Banjo CEO Damien Patton was exposed as a member of the Ku Klux Klan, including involvement in an anti-Semitic drive-by shooting, the state put the contract on hold and called in the state auditor to check for algorithmic bias and privacy risks in the software. The good news was the software posed less risk to privacy than suspected.

Uncertainty 98

Uncertainty Sales Risk Statistics 98

CIO Business Intelligence

APRIL 11, 2023

Over the next five years, the healthcare industry is expected to go through dramatic changes as service providers expand value-based care models and equipment manufacturers strive to keep pace in a digital-first world. Does this create any pressures on you and your IT organization to complete projects more quickly and with less risk involved?

Modeling 98

Modeling IT Strategy Uncertainty 98

CIO Business Intelligence

JULY 10, 2024

And as gen AI is deployed by more companies, especially for high-risk, public-facing use cases, we’re likely to see more examples like this. But only 33% of respondents said they’re working to mitigate cybersecurity risks, down from 38% last year. But plans are progressing slower than anticipated because of associated risks,” she says.

Enterprise 136

Enterprise Risk Modeling Risk Management 136

CIO Business Intelligence

JULY 23, 2024

It’s, ‘We’ve seen the power of OpenAI—tell me how we’re going to be using large language models in order to transform our business.’” Gen AI can still hallucinate, even if tuned, creating a level of uncertainty when more traditional tools would be more consistent.

Uncertainty 131

Uncertainty Machine Learning Business Intelligence Marketing 131

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model. This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

Cloudera

DECEMBER 3, 2021

Surely there are ways to comb through the data to minimise the risks from spiralling out of control. Systems should be designed with bias, causality and uncertainty in mind. For example, training an interview screening model using education data often contains gender information. Model Drift. System Design.

Uncertainty 102

Uncertainty Measurement Metrics Risk 102

CIO Business Intelligence

OCTOBER 11, 2023

While international conflict, economic uncertainty and climate change are affecting businesses of all kinds, energy companies and utilities are also dealing with aging infrastructure, constant cyberattacks, increased regulation and rising customer expectations. And by 2028, the AI spend is likely to more than quadruple to 14.257 billion USD.

Unstructured Data 137

Unstructured Data Uncertainty Risk Data Processing 137

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. Hollywood is a $10 billion-a-year industry, and movies range from huge hits to box office bombs.

Risk 67

Risk ROI Modeling Metrics 67

CIO Business Intelligence

AUGUST 1, 2024

The implementation must not become a stalemate for companies: Long legal uncertainty , unclear responsibilities and complex bureaucratic processes in the implementation of the AI Act would hinder European AI innovation. From August 1, 2025, codes of conduct for certain general-purpose AI models will come into force.

Risk 119

Risk Uncertainty Testing Digital Transformation 119

CIO Business Intelligence

MARCH 10, 2023

Digital transformation has brought significant adoption of new technology and business models, including cloud solutions, e-commerce platforms, smart devices, and a significantly more distributed workforce. These, in turn, have brought with them an increase in new threats, risks, and cybercrime.

Digital Transformation 143

Digital Transformation Cost-Benefit ROI Risk 143

erwin

OCTOBER 16, 2020

Now to survive and thrive in the face of radical disruption requires radical transformation and new business models. The companies that come out of this historic period of global uncertainty and change are those who’ve taken intelligent and data-driven approaches to their businesses. Subscribe to the erwin Expert Blog.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

CIO Business Intelligence

MAY 23, 2023

Unlocking VMware’s potential Broadcom’s business model and its decades of focus on R&D combined with VMware’s core technology and superb talent will be the catalysts that will enable VMware to capture the growth opportunity in front of it. VMware needs more partners to grow, and we will help it succeed in doing so.

Uncertainty 145

Uncertainty Cost-Benefit Risk Enterprise 145

CIO Business Intelligence

JANUARY 11, 2024

IT leaders understand that the models are only as good as the information on which they are educated. Our biggest blocker to unleashing the power of AI is uncertainty over the integrity of the dataset it’s working from,” Dan Cohen, CIO and director of operations at The Amenity Collective, says in the report.

Enterprise 128

Enterprise Uncertainty Reporting Risk Management 128

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. Data scientists work with business users to define and learn the rules by which precursor analytics models produce high-accuracy early warnings.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

CIO Business Intelligence

APRIL 24, 2024

AI concerns remain While the collaboration between Microsoft and Cognizant might help CIOs better integrate generative AI into their enterprise strategies, its use still carries uncertainties, Marr said. Ensuring human oversight and rigorous quality checks can mitigate the risks associated with AI errors.”

Enterprise 128

Enterprise Digital Transformation Consulting Uncertainty 128

CIO Business Intelligence

AUGUST 13, 2024

Ansys, known for its simulation software, helps engineers across various industries, including the semiconductor sector, model and analyze the physical behavior of products. Synopsys, a leading provider of electronic design automation (EDA) tools, announced its intentions to acquire Ansys in January.

Uncertainty 126

Uncertainty Marketing Software Technology 126

Domino Data Lab

MAY 15, 2019

Unfortunately, a common challenge that many industry people face includes battling “ the model myth ,” or the perception that because their work includes code and data, their work “should” be treated like software engineering. This work includes model improvements as well as adding new signals and features into the model.

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

CIO Business Intelligence

MARCH 14, 2022

Hubbard defines measurement as: “A quantitatively expressed reduction of uncertainty based on one or more observations.”. This acknowledges that the purpose of measurement is to reduce uncertainty. And the purpose of reducing uncertainty is to make better decisions. But if precision matters, you’ll need more context.

Uncertainty 105

Uncertainty Measurement Cost-Benefit Optimization 105

CIO Business Intelligence

SEPTEMBER 6, 2023

Since ChatGPT’s release in November of 2022, there have been countless conversations on the impact of similar large language models. While the potential of Generative AI in software development is exciting, there are still risks and guardrails that need to be considered. To learn more, visit us here.

Software 119

Software Experimentation Risk Uncertainty 119