CIO Business Intelligence

OCTOBER 24, 2023

As CIOs prepare for the next wave of digital transformation, they must demonstrate shorter-term business impacts from technology investments and achieve larger innovation goals that evolve the organization’s business model. Still, certain issues surface time and time again to trouble business outcomes regardless of the strategic objectives.

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

O'Reilly on Data

JANUARY 16, 2024

I even contributed my own hot take last year with my O’Reilly Radar article Real-Real-World Programming with ChatGPT.) And by “chat” I mean the original sense of the word—to hold a back-and-forth verbal conversation with it just like how you would chat with a fellow human being. What more is left to say by now?

Interactive 183

Interactive Recreation/Entertainment Visualization IT 183

CIO Business Intelligence

DECEMBER 19, 2023

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. Moreover, the CEOs and boards that CIOs report to don’t want to be left behind by generative AI, and many employees want to experiment with the latest generative AI capabilities in their workflows.

Digital Transformation 142

Digital Transformation Unstructured Data Machine Learning Risk Management 142

CIO Business Intelligence

JANUARY 11, 2024

Add the rapid rise of generative AI, and the past year was one in which CIOs often found themselves on the back foot, reacting to disruptions and shifting strategies in real-time. To guide an organization through uncertainty, IT leaders must help ensure everyone in the company is on the same page, Srivastava says. “It

IT 131

IT Uncertainty Cost-Benefit Strategy 131

CIO Business Intelligence

NOVEMBER 16, 2023

She also shared some of the lessons she’s learned about taking risks, navigating complexity, fostering an innovative culture, and creating significant impact across the business. As we think about our next step change in driving business outcomes and competitive advantage for The Hartford, it is really our AI-led transformation.

Insurance 127

Insurance Enterprise Risk Digital Transformation 127

Rocket-Powered Data Science

AUGUST 22, 2021

For many years, organizations (mostly consumer-facing) have placed the “voice of the customer” (VoC) high on their priority list of top sources for customer intelligence. AI can be considered as Accelerated, Actionable, Amplified, Assisted, Augmented, even Awesome Intelligence, both for the customer and for the call center staff.

Data-driven 277

Data-driven Interactive Behavioral Analytics Machine Learning 277

CIO Business Intelligence

MARCH 7, 2024

In my recent column, I delved into the challenges enterprises face in integrating AI into the workplace and outlined strategies for CISOs to monitor or control the use of AI effectively. The focus was on ensuring safe generative AI practices within organizations. How has AI penetrated the typical enterprise?

Digital Transformation 72

Digital Transformation Machine Learning Risk Testing 72

CIO Business Intelligence

SEPTEMBER 26, 2023

According to ISACA, 60% of organizations are struggling to retain individuals, and 62% say their teams are operating at a talent deficit. Where can we find them and how can we make sure they are properly trained, especially those that come through the nontraditional tertiary education path? We have to cast a wider net.

Machine Learning 102

Machine Learning Technology Reporting Risk 102

CIO Business Intelligence

AUGUST 17, 2023

Generative AI has taken the world by storm and is being discussed in C-suites and boardrooms daily. Its power and potential are so significant that governments across the globe are trying to figure out how to regulate it. Your organization needs someone to champion this.

Measurement 96

Measurement Risk Testing Technology 96

CIO Business Intelligence

FEBRUARY 27, 2023

We’ve entered another year where current economic conditions are pressuring organizations to do more with less, all while still executing against digital transformation imperatives to keep the business running and competitive. The growth of Kubernetes, and the benefits it brings to organizations, is not something that is going away.

Cost-Benefit 141

Cost-Benefit Digital Transformation Strategy Software 141

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. “My Doing so will be no small feat.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

Ontotext

APRIL 3, 2024

Read about the latest use cases and trends in the Financial Services industry and learn how Generative AI and LLMs complement with key capabilities of knowledge graphs. The first one is Enterprise 360 where organizations are saying, “The information about my most important assets is spread across many different systems.

Technology 59

Technology Risk Digital Transformation Measurement 59

CIO Business Intelligence

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. Here, I’ll focus on why these three elements and capabilities are fundamental building blocks of a data ecosystem that can support real-time AI.

Data Strategy 115

Data Strategy Strategy Machine Learning Data-driven 115

CIO Business Intelligence

OCTOBER 10, 2023

By Chet Kapoor, Chairman and CEO of DataStax In tech, success means embracing change and moving fast. With the rise of AI, leaders are re-thinking how they drive productivity and execution within their teams. Every couple weeks, I will send my team a video message sharing what’s top of mind for me.

Data-driven 127

Data-driven Machine Learning Management Technology 127

IBM Big Data Hub

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Metrics 88

Metrics Machine Learning Risk Statistics 88

DataRobot Blog

OCTOBER 18, 2022

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. Swarms of customers, partners, and industry colleagues dropped by to discuss AI-related opportunities within their organizations and discuss three top AI themes.

Big Data 96

Big Data Forecasting Experimentation Metrics 96

FineReport

APRIL 25, 2024

Data visualization jobs involve creating visual representations of data to help organizations make informed decisions. Choosing a career path in data visualization jobs offers an exciting opportunity to contribute meaningfully to organizations by translating raw data into actionable insights through captivating visuals.

Visualization 52

Visualization Data-driven Interactive Dashboards 52

O'Reilly on Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. Without being able to troubleshoot models when they underperform or misbehave, organizations simply won’t be able to adopt and deploy ML at scale. Not least is the broadening realization that ML models can fail.

Machine Learning 190

Machine Learning Modeling Testing Risk Management 190

CIO Business Intelligence

MAY 18, 2023

For grasping artificial intelligence Sherry Comes, former CTO at IBM Watson and current managing director of conversational AI at PwC, thinks you need to read Age of Invisible Machines: A Practical Guide to Creating a Hyperautomated Ecosystem of Intelligent Digital Workers (Wiley, 2022) by Robb Wilson. Looking for your next read?

IT 124

IT Software Recreation/Entertainment Technology 124

Ontotext

FEBRUARY 1, 2024

We as a taxonomy community are facing rapid technological change and grappling with where our discipline fits into a world captivated by ChatGPT and other generative models. In this moment of technological change, I think it’s helpful to reflect on the challenges our professional community has already faced and solved together.

Enterprise 59

Enterprise Management Metadata Modeling 59

CIO Business Intelligence

JANUARY 10, 2024

With headquarters in Winnipeg and a total of nearly 11,000 employees worldwide, Canada Life prides itself on being a technology-first organization, but equally people-centric. Integrating gen AI is exciting, not just how it can support our clients, but also our internal teams to create efficiency.”

Machine Learning 52

Machine Learning Technology Insurance Management 52

CIO Business Intelligence

JULY 14, 2023

Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. Since the release of ChatGPT last November, interest in generative AI has skyrocketed. Every company will be doing that,” he adds. “In

Modeling 96

Modeling Machine Learning Cost-Benefit B2B 96

CIO Business Intelligence

DECEMBER 4, 2023

As data skyrockets—especially unstructured data—organizations need an intentional plan and ongoing approach to protect, manage, and optimize data for monetization. What’s changed? But, truth be told, that ‘zen’ doesn’t happen until I’m attuned to the puzzle’s colors, shapes, and patterns.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

O'Reilly on Data

MARCH 22, 2019

Machines will need to make ethical decisions, and we will be responsible for those decisions. But my suggestion ignores the reality that ethics has already been automated: merely claiming to make data-based recommendations without taking anything else into account is an ethical stance. There’s a lot we can learn from spam filtering.

Metadata 241

Metadata Advertising Insurance Modeling 241

CIO Business Intelligence

JULY 10, 2023

Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core. Now, how do we stay ahead in this AI landscape? If you ask it, ‘How does the Toyota Camry 2022 drive?’

Data Warehouse 96

Data Warehouse Cost-Benefit Unstructured Data Machine Learning 96

CIO Business Intelligence

NOVEMBER 16, 2023

Generative AI is transforming the world, changing the way we create images and videos, audio, text, and code. According to a September survey of IT decision makers by Dell, 76% say gen AI will have a “significant if not transformative” impact on their organizations, and most expect to see meaningful results within the next 12 months.

Modeling 138

Modeling Enterprise Marketing Sales 138

DataRobot

JULY 16, 2021

Just as trust needs to be established in our personal and business relationships, it also needs to be established between an AI user and the system. Transformative technologies such as autonomous vehicles will be possible only when there are clear methods and benchmarks to establish trust in AI systems. How large is the data set?

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

Smart Data Collective

SEPTEMBER 22, 2022

Artificial intelligence technology is changing the state of the manufacturing sector. Billion on AI technology by 2027. There are countless benefits of investing in AI as a manufacturer. However, this is also going to lead to some major changes that might be a bane for many workers. Manufacturing is far from dead.

Manufacturing 100

Manufacturing Technology Management IT 100

CIO Business Intelligence

OCTOBER 9, 2023

This leaves a small percentage — 10% in this case — of leaders that will deliver long-term growth successfully.” “A business-aligned technology strategy is built on architecture and agility, the ‘what’ and the ‘how’ of better alignment,’’ he explains. That’s the trick: figuring out how to keep everyone happy.

Strategy 137

Strategy Technology Experimentation Testing 137

CIO Business Intelligence

AUGUST 23, 2023

So if you’re thinking about when many of my colleagues were doing a lot of the heavy lift on process optimization, we were thinking about it from an operating company and looking at ways to standardize, simplify, or automate the execution of those processes.” But it’s a very large and complex organization.”

Data Strategy 98

Data Strategy Strategy B2B Digital Transformation 98

CIO Business Intelligence

JUNE 1, 2022

Recently, I caught up with Clifton to learn more. Martha Heller: How is Alorica pivoting as a business right now? Our clients would also like to provide more self-service to their customers, which means that at Alorica, we need to automate more transactions and learn more from those insights.

IT 89

IT Interactive Marketing Consulting 89

CIO Business Intelligence

JUNE 29, 2022

Machine learning operations (MLOps) analysts have burst onto the scene as demand has grown among businesses for consistent, reliable insights in-house. Our role is to make machine learning, or AI, projects more systematic, repeatable, and well maintained. How important is MLOps to GfK? . It’s crucial.

Data Science 93

Data Science Machine Learning Data-driven Predictive Analytics 93

CIO Business Intelligence

DECEMBER 1, 2022

For any IT leader new to an organization, gaining employee trust is paramount — especially when, like PepsiCo’s Athina Kanioura, you’ve been brought in to transform the way work gets done. The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics.

Digital Transformation 137

Digital Transformation IoT Data-driven KPI 137

CIO Business Intelligence

FEBRUARY 21, 2024

Generative AI (GenAI) continues to amaze users with its ability to synthesize vast amounts of information to produce near-instant outputs. Before moving forward, CIOs consider the problem they are trying to solve with RAG and how complex their data is, then compare their needs with each data architecture’s pros and cons. It depends.

Insurance 64

Insurance Unstructured Data Data Architecture Technology 64

Smart Data Collective

NOVEMBER 24, 2022

There are a lot of reasons a growing number of companies are turning to AI technology. One poll showed that 61% of companies found that AI and machine learning were their best data investments. One of the industries that is evolving by adopting new AI tools in web design. Here is a fact that you should consider.

Visualization 129

Visualization Advertising Marketing Risk 129

CIO Business Intelligence

OCTOBER 24, 2022

The rebranding is an acknowledgement of how the role has changed,” he says, but is also intended to reinforce various mindsets that he wants the whole team to adopt. AI and machine learning were only just beginning to creep into discussion of analytics in 2015 , and the ServiceNow team devoted to the technology was tiny. “At

Digital Transformation 92

Digital Transformation Machine Learning Cost-Benefit Risk 92

Smart Data Collective

MAY 29, 2023

As the world and its technologies changes, so will the needs as dictated by the demands of businesses and their adoption of new technologies and techniques. With these changes comes the challenge of understanding how to gather, manage, and make sense of the data collected in various markets.

Data Collection 75

Data Collection Big Data Statistics Software 75