O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

Management 338

Management Machine Learning Experimentation Metrics 338

CIO Business Intelligence

NOVEMBER 7, 2024

The UK government has introduced an AI assurance platform, offering British businesses a centralized resource for guidance on identifying and managing potential risks associated with AI, as part of efforts to build trust in AI systems. billion in revenue, the UK government said.

Risk 130

Risk Management Measurement Consulting 130

CIO Business Intelligence

JULY 25, 2024

It also highlights the downsides of concentration risk. What is concentration risk? Looking to the future, IT leaders must bring stronger focus on “concentration risk”and how these supply chain risks can be better managed. Unfortunately, the complexity of multiple vendors can lead to incidents and new risks.

Risk 144

Risk Cost-Benefit Strategy Enterprise 144

CIO Business Intelligence

JULY 23, 2024

Call it survival instincts: Risks that can disrupt an organization from staying true to its mission and accomplishing its goals must constantly be surfaced, assessed, and either mitigated or managed. While security risks are daunting, therapists remind us to avoid overly stressing out in areas outside our control.

Risk 142

Risk IT Risk Management Cost-Benefit 142

Analytics Vidhya

DECEMBER 4, 2022

When too much risk is restricted to very few players, it is considered as a notable failure of the risk management framework. […]. Introduction The global financial crisis of 2007 has had a long-lasting effect on the economies of many countries.

Modeling 395

Modeling Risk Management Risk Management 395

CIO Business Intelligence

NOVEMBER 8, 2024

AI coding agents are poised to take over a large chunk of software development in coming years, but the change will come with intellectual property legal risk, some lawyers say. This means the AI might spit out code that’s identical to proprietary code from its training data, which is a huge risk,” Badeev adds.

Risk 133

Risk Software Recreation/Entertainment Modeling 133

Corinium

JUNE 24, 2020

BNP Paribas Global Head of AI and Digital Risk Analytics Adri Purkayastha talks to us about how COVID-19 is accelerating the firm’s digital transformation and the future of risk analytics. You’ve been at BNP Paribas for roughly 18 months.

Digital Transformation 370

Digital Transformation Consulting Risk Data Science 370

CIO Business Intelligence

DECEMBER 11, 2024

According to Richard Kulkarni, Country Manager for Quest, a lack of clarity concerning governance and policy around AI means that employees and teams are finding workarounds to access the technology. Lack of oversight establishes a different kind of risk, with shadow IT posing significant security threats to organisations.

Risk 107

Risk Data Strategy Strategy Data Governance 107

Analytics Vidhya

OCTOBER 17, 2022

Businesses of all sizes are switching to the cloud to manage risks, improve data security, streamline processes and decrease costs, or other reasons. This article was published as a part of the Data Science Blogathon. Introduction There are several reasons organizations should use cloud computing in the modern world.

Data Science 370

Data Science Publishing Risk Management 370

CIO Business Intelligence

AUGUST 21, 2024

Adding smarter AI also adds risk, of course. “At The big risk is you take the humans out of the loop when you let these into the wild.” When it comes to security, though, agentic AI is a double-edged sword with too many risks to count, he says. “We That means the projects are evaluated for the amount of risk they involve.

Risk 136

Risk Insurance Cost-Benefit Software 136

CIO Business Intelligence

OCTOBER 16, 2024

In the executive summary of the updated RSP , Anthropic stated, “in September 2023, we released our Responsible Scaling Policy (RSP), a public commitment not to train or deploy models capable of causing catastrophic harm unless we have implemented safety and security measures that will keep risks below acceptable levels.

Risk 117

Risk IT Measurement Modeling 117

datapine

OCTOBER 11, 2023

This is no different in the logistics industry, where warehouse managers track a range of KPIs that help them efficiently manage inventory, transportation, employee safety, and order fulfillment, among others. It allows for informed decision-making and efficient risk mitigation. Let’s dive in with the definition.

Metrics 217

Metrics KPI Management Cost-Benefit 217

CIO Business Intelligence

SEPTEMBER 13, 2024

For Kevin Torres, trying to modernize patient care while balancing considerable cybersecurity risks at MemorialCare, the integrated nonprofit health system based in Southern California, is a major challenge. They also had to retrofit some older solutions to ensure they didn’t expose the business to greater risks.

Risk 128

Risk IT IoT Statistics 128

CIO Business Intelligence

JULY 25, 2024

IT managers are often responsible for not just overseeing an organization’s IT infrastructure but its IT teams as well. To succeed, you need to understand the fundamentals of security, data storage, hardware, software, networking, and IT management frameworks — and how they all work together to deliver business value.

IT 131

IT Management Risk Risk Management 131

O'Reilly on Data

OCTOBER 30, 2023

These should not be a random grab-bag of measures thought up by outside regulators or advocates, but disclosures of the actual measurements and methods that the companies use to manage their AI systems. Methods by which the AI provider manages and mitigates risks identified via Red Teaming, including their effectiveness.

Measurement 304

Measurement Risk Metrics Modeling 304

Analytics Vidhya

AUGUST 16, 2024

Whether you’re managing a sales record, contact list, or any other dataset, duplicate entries can quickly turn into a source of confusion and errors. Imagine making a critical business decision based on faulty data—it’s a risk you can’t afford.

Sales 291

Sales Risk Management Analytics 291

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? However, with all good things comes many challenges and businesses often struggle with managing their information in the correct way. Enters data quality management. What Is Data Quality Management (DQM)? Why Do You Need Data Quality Management? Table of Contents.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

OCTOBER 9, 2024

However, this enthusiasm may be tempered by a host of challenges and risks stemming from scaling GenAI. While it may sound simplistic, the first step towards managing high-quality data and right-sizing AI is defining the GenAI use cases for your business. An example is Dell Technologies Enterprise Data Management.

Strategy 143

Strategy Modeling Management Data Lake 143

CIO Business Intelligence

OCTOBER 17, 2024

While tech debt refers to shortcuts taken in implementation that need to be addressed later, digital addiction results in the accumulation of poorly vetted, misused, or unnecessary technologies that generate costs and risks. Striking this balance is delicate and requires careful management. Assume unknown unknowns.

Risk 108

Risk Experimentation Testing Strategy 108

David Menninger's Analyst Perspectives

OCTOBER 30, 2024

The application suite includes procurement, inventory management, warehouse management, order management and transportation management. Far from static, supply chain managers must constantly adjust to changing market conditions and prices, as well as adapt to unforecastable disruptions.

Management 130

Management IT Sales Manufacturing 130

CIO Business Intelligence

OCTOBER 2, 2024

According to Kari Briski, VP of AI models, software, and services at Nvidia, successfully implementing gen AI hinges on effective data management and evaluating how different models work together to serve a specific use case. Data management, when done poorly, results in both diminished returns and extra costs.

Management 141

Management Data Governance Cost-Benefit Structured Data 141

O'Reilly on Data

JULY 28, 2020

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

Marketing 363

Marketing Experimentation Metrics Testing 363

CIO Business Intelligence

NOVEMBER 19, 2024

As the next generation of AI training and fine-tuning workloads takes shape, limits to existing infrastructure will risk slowing innovation. This means that the infrastructure needs to provide seamless data mobility and management across these systems. Data silos make it difficult to aggregate and analyze data effectively for AI.

Management 116

Management Unstructured Data Deep Learning Metadata 116

CIO Business Intelligence

AUGUST 22, 2024

Keep reading for a look at key findings from our research, along with tips on how CISOs can apply them to enhance the effectiveness of the security personnel they manage. CISOs should expect to build and manage multiple teams. We also discovered a variety of approaches to organizing reporting structures for security functions.

Management 122

Management Reporting Risk Marketing 122

CIO Business Intelligence

OCTOBER 8, 2024

According to CEO Andy Jassy, a massive reorganization is what’s needed to remove layers, flatten organizations, increase teammates’ ability to move fast, and create an employee utopia by getting rid of lots and lots of non-value-adding managers. But at the risk of defending the indefensible, all meetings should be planned before they’re held.

Management 132

Management Reporting Optimization IT 132

David Menninger's Analyst Perspectives

OCTOBER 15, 2024

Waiting too long to start means risking having to play catch-up. AI-enabling on-premises software is preferable where there is some combination of incurring less disruption to operations, faster time to value, lower risk of failure and lower total cost of ownership relative to migrating to the cloud.

Cost-Benefit 204

Cost-Benefit Risk Forecasting Software 204

CIO Business Intelligence

NOVEMBER 21, 2024

Ninety percent of CIOs recently surveyed by Gartner say that managing AI costs is limiting their ability to get value from AI. In many cases, small wins that show quick value may be a better bet than huge, high-risk projects, Miller advises. Doing so can help ensure costs are manageable and the solution will scale.

Management 124

Management ROI Interactive Software 124

CIO Business Intelligence

AUGUST 20, 2024

It also automates some marketing functions, purchasing, and KPI management. While chatbots and digital assistants can provide value to SMBs, they can also use AI for data analysis, inventory management, personalized marketing, and fraud detection. SMBs need to get over those concerns or risk being left behind, he says.

Risk 131

Risk Cost-Benefit Insurance ROI 131

O'Reilly on Data

JUNE 15, 2023

Should we risk loss of control of our civilization?” They were not imposed from without, but were adopted because they allowed merchants to track and manage their own trading ventures. Should we automate away all the jobs, including the fulfilling ones? They are universally used by businesses today for the same reason.

Metrics 289

Metrics Reporting Measurement Finance 289

O'Reilly on Data

JUNE 15, 2023

“Mitigating the risk of extinction from A.I. should be a global priority alongside other societal-scale risks, such as pandemics and nuclear war,” according to a statement signed by more than 350 business and technical leaders, including the developers of today’s most important AI platforms.

Risk 251

Risk Optimization Modeling Reporting 251