CIO Business Intelligence

OCTOBER 22, 2024

Gartner’s top predictions for 2025 are as follows: Through 2026, 20% of organizations will use AI to flatten their organizational structure, eliminating more than half of current middle management positions. CMOs view GenAI as a tool that can launch both new products and business models.

Enterprise 135

Enterprise Risk IoT Cost-Benefit 135

CIO Business Intelligence

OCTOBER 24, 2024

Take for instance large language models (LLMs) for GenAI. From prompt injections to poisoning training data, these critical vulnerabilities are ripe for exploitation, potentially leading to increased security risks for businesses deploying GenAI. This puts businesses at greater risk for data breaches.

Risk 128

Risk Measurement Optimization Machine Learning 128

CIO Business Intelligence

NOVEMBER 11, 2024

Nate Melby, CIO of Dairyland Power Cooperative, says the Midwestern utility has been churning out large language models (LLMs) that not only automate document summarization but also help manage power grids during storms, for example. Only 13% plan to build a model from scratch.

ROI 137

ROI Cost-Benefit Risk Experimentation 137

CIO Business Intelligence

NOVEMBER 28, 2024

Unsurprisingly, more than 90% of respondents said their organization needs to shift to an AI-first operating model by the end of this year to stay competitive — and time to do so is running out. Courage and the ability to manage risk In the past, implementing bold technological ideas required substantial financial investment.

IT 130

IT Data Governance Risk Consulting 130

CIO Business Intelligence

MARCH 19, 2025

Then in November, the company revealed its Azure AI Agent Service, a fully-managed service that lets enterprises build, deploy and scale agents quickly. Before that, though, ServiceNow announced its AI Agents offering in September, with the first use cases for customer service management and IT service management, available in November.

Software 143

Software Risk Enterprise Cost-Benefit 143

CIO Business Intelligence

JANUARY 7, 2025

Regardless of the driver of transformation, your companys culture, leadership, and operating practices must continuously improve to meet the demands of a globally competitive, faster-paced, and technology-enabled world with increasing security and other operational risks.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

CIO Business Intelligence

JANUARY 21, 2025

CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns. CIOs should consider placing these five AI bets in 2025.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

CIO Business Intelligence

APRIL 24, 2025

Companies are intrigued by AIs promise to introduce new efficiencies into business processes, but questions about costs, return on investment, employee experience and expectations, and change management remain important concerns. At the core of corporate AI adoption is a platform that can comprehensively manage these elements.

Finance 128

Finance Strategy Sales Optimization 128

O'Reilly on Data

DECEMBER 10, 2019

We can collect many examples of what we want the program to do and what not to do (examples of correct and incorrect behavior), label them appropriately, and train a model to perform correctly on new inputs. Those tools are starting to appear, particularly for building deep learning models. Instead, we can program by example.

Software 340

Software Machine Learning Risk Data-driven 340

CIO Business Intelligence

DECEMBER 20, 2024

As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. as AI adoption and risk increases, its time to understand why sweating the small and not-so-small stuff matters and where we go from here. isnt intentionally or accidentally exfiltrated into a public LLM model?

Risk 105

Risk Measurement Interactive Modeling 105

CIO Business Intelligence

NOVEMBER 21, 2024

Importantly, where the EU AI Act identifies different risk levels, the PRC AI Law identifies eight specific scenarios and industries where a higher level of risk management is required for “critical AI.” The UAE provides a similar model to China, although less prescriptive regarding national security.

Consulting 120

Consulting Risk Risk Management Marketing 120

O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

datapine

NOVEMBER 27, 2019

Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

DECEMBER 11, 2024

We are now deciphering rules from patterns in data, embedding business knowledge into ML models, and soon, AI agents will leverage this data to make decisions on behalf of companies. This organism is the cornerstone of a companys competitive advantage, necessitating careful and responsible nurturing and management.

Management 111

Management Data Governance Data Science Reporting 111

CIO Business Intelligence

NOVEMBER 19, 2024

You pull an open-source large language model (LLM) to train on your corporate data so that the marketing team can build better assets, and the customer service team can provide customer-facing chatbots. You build your model, but the history and context of the data you used are lost, so there is no way to trace your model back to the source.

Management 116

Management Unstructured Data Deep Learning Metadata 116

CIO Business Intelligence

JANUARY 21, 2025

Data poisoning and model manipulation are emerging as serious concerns for those of us in cybersecurity. Attackers can potentially tamper with the data used to train AI models, causing them to malfunction or make erroneous decisions. Theres also the risk of over-reliance on the new systems.

Behavioral Analytics 122

Behavioral Analytics Data-driven Risk Insurance 122

CIO Business Intelligence

JANUARY 9, 2025

Salesforces recent State of Commerce report found that 80% of eCommerce businesses already leverage AI solutions. Enter Akeneo, a global leader in Product Experience Management (PXM) and AI tech stack solutions. However, successful AI implementation requires more than cutting-edge technology.

B2B 105

B2B Cost-Benefit Data-driven Sales 105

AWS Big Data

JANUARY 9, 2025

In this post, we focus on data management implementation options such as accessing data directly in Amazon Simple Storage Service (Amazon S3), using popular data formats like Parquet, or using open table formats like Iceberg. Data management is the foundation of quantitative research.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

CIO Business Intelligence

NOVEMBER 13, 2024

One is going through the big areas where we have operational services and look at every process to be optimized using artificial intelligence and large language models. But a substantial 23% of respondents say the AI has underperformed expectations as models can prove to be unreliable and projects fail to scale.

IT 141

IT Consulting ROI Cost-Benefit 141

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 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

DECEMBER 9, 2024

This is particularly true with enterprise deployments as the capabilities of existing models, coupled with the complexities of many business workflows, led to slower progress than many expected. Assuming a technology can capture these risks will fail like many knowledge management solutions did in the 90s by trying to achieve the impossible.

Enterprise 116

Enterprise Cost-Benefit ROI Measurement 116

CIO Business Intelligence

NOVEMBER 15, 2024

These uses do not come without risk, though: a false alert of an earthquake can create panic, and a vulnerability introduced by a new technology may risk exposing critical systems to nefarious actors.” He said that the proposed guidelines face a number of challenges if they are to be adopted.

Risk 119

Risk Risk Management Strategy Reporting 119

CIO Business Intelligence

DECEMBER 17, 2024

What are the associated risks and costs, including operational, reputational, and competitive? For AI models to succeed, they must be fed high-quality data thats accurate, up-to-date, secure, and complies with privacy regulations such as the Colorado Privacy Act, California Consumer Privacy Act, or General Data Protection Regulation (GDPR).

Experimentation 98

Experimentation ROI Risk Data Quality 98

O'Reilly on Data

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. 16% of respondents working with AI are using open source models. A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop.

Enterprise 342

Enterprise Testing Modeling Reporting 342

O'Reilly on Data

MAY 14, 2020

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products. The AI Product Pipeline.

Management 364

Management Experimentation B2B Machine Learning 364

CIO Business Intelligence

APRIL 30, 2025

Cloud architects are responsible for managing the cloud computing architecture in an organization, especially as cloud technologies grow increasingly complex. These IT pros are tasked with overseeing the adoption of cloud-based AI solutions in an enterprise environment, further expanding the responsibility scope of the role.

Testing 108

Testing Cost-Benefit Optimization Software 108

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 282

Machine Learning Modeling Testing Risk Management 282

CIO Business Intelligence

JANUARY 14, 2025

In todays digital economy, business objectives like becoming a leading global wealth management firm or being a premier destination for top talent demand more than just technical excellence. Most importantly, architects make difficult problems manageable. The stakes have never been higher. Shawn McCarthy 3.

Enterprise 119

Enterprise Technology Metrics Measurement 119

CIO Business Intelligence

DECEMBER 30, 2024

Small language models and edge computing Most of the attention this year and last has been on the big language models specifically on ChatGPT in its various permutations, as well as competitors like Anthropics Claude and Metas Llama models.

Software 141

Software ROI Modeling Interactive 141

CIO Business Intelligence

JANUARY 30, 2025

These changes can expose businesses to risks and vulnerabilities such as security breaches, data privacy issues and harm to the companys reputation. Create processes that are close to the actual practice of developing, deploying, operationalizing and maintaining AI solutions. It is easy to see how the detractions can get in the way.

Testing 93

Testing Metrics Cost-Benefit Modeling 93

CIO Business Intelligence

JANUARY 3, 2025

Artificial intelligence for IT operations (AIOps) solutions help manage the complexity of IT systems and drive outcomes like increasing system reliability and resilience, improving service uptime, and proactively detecting and/or preventing issues from happening in the first place. Beneath the surface, however, are some crucial gaps.

IT 105

IT Cost-Benefit Data Science Data-driven 105

AWS Big Data

OCTOBER 29, 2024

AWS Lake Formation is a service that streamlines and centralizes the data lake creation and management process. This makes sure that only authorized users or applications can access specific data sets or portions of data, but also reduces the risk of unauthorized access or data breaches.

Data Lake 109

Data Lake Sales Metadata Machine Learning 109

CIO Business Intelligence

DECEMBER 11, 2024

Travel and expense management company Emburse saw multiple opportunities where it could benefit from gen AI. To solve the problem, the company turned to gen AI and decided to use both commercial and open source models. With security, many commercial providers use their customers data to train their models, says Ringdahl.

Cost-Benefit 115

Cost-Benefit Modeling Marketing Sales 115

CIO Business Intelligence

NOVEMBER 6, 2024

AI enables the democratization of innovation by allowing people across all business functions to apply technology in new ways and find creative solutions to intractable challenges. His customer service department uses Freshworks Customer Service Suite, which includes AI-powered chatbots to manage user requests.

Forecasting 133

Forecasting Risk Technology Strategy 133

O'Reilly on Data

JANUARY 17, 2023

Building Models. A common task for a data scientist is to build a predictive model. You’ll try this with a few other algorithms, and their respective tuning parameters–maybe even break out TensorFlow to build a custom neural net along the way–and the winning model will be the one that heads to production.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

AWS Big Data

DECEMBER 4, 2024

They’re taking data they’ve historically used for analytics or business reporting and putting it to work in machine learning (ML) models and AI-powered applications. We’ve simplified data architectures, saving you time and costs on unnecessary data movement, data duplication, and custom solutions.

Data Analytics 104

Data Analytics Analytics Data Lake Data Quality 104

CIO Business Intelligence

NOVEMBER 12, 2024

“I would encourage everbody to look at the AI apprenticeship model that is implemented in Singapore because that allows businesses to get to use AI while people in all walks of life can learn about how to do that. So, this idea of AI apprenticeship, the Singaporean model is really, really inspiring.”

Modeling 116

Modeling Machine Learning Consulting Deep Learning 116