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 332

Management Machine Learning Experimentation Metrics 332

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 a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

CIO Business Intelligence

JUNE 22, 2023

And with AI deepening its presence in daily life, as more people turn to AI bot services, such as ChatGPT, to answer questions and get help with tasks, its presence in the workplace will only accelerate. Much of the discussion around AI in the workplace has been about the jobs it could replace.

IT 105

IT Machine Learning Deep Learning Technology 105

CIO Business Intelligence

FEBRUARY 16, 2024

Tomago Aluminium is an industry giant in the Asia-Pacific region, and as IT superintendent, Dennis Moncrieff is responsible for leveraging the right technologies to make the process of producing aluminum more efficient. When talking about the organization’s digital transformation journey, he describes it as a constant.

IT 116

IT Digital Transformation Data Architecture Management 116

CIO Business Intelligence

FEBRUARY 14, 2024

But when it comes to implementing those projects successfully, they turn out to rely on how well the IT organization has implemented basics like connectivity, permissions, and configuration management. When you think about all the blocking and tackling a CIO needs to do for regular applications, that especially applies to AI.”

IT 143

IT Metadata Data-driven Management 143

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. It involves bringing together people, processes, and technology to enable data-driven decision making and improve the efficiency of data-related workflows.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

CIO Business Intelligence

OCTOBER 16, 2023

In fact, 40% of those reporting AI adoption at their organizations say their companies expect to invest more in AI, and 28% say gen AI use is already on their board’s agenda. Similarly, developers often experience writer’s block when creating code. AI’s impact on software development Software development takes a lot of time.

Software 131

Software Data-driven Modeling Machine Learning 131

CIO Business Intelligence

OCTOBER 20, 2023

The result, Jeevanjee says, is a technology-driven business strategy “that’s a very empowering thing.” We learned a ton about how customers react to us, and this is what I mean about changing our organization,” Jeevanjee says. The methodical approach does not mean Allstate is a technology novice.

Digital Transformation 136

Digital Transformation Insurance Recreation/Entertainment Machine Learning 136

CIO Business Intelligence

OCTOBER 9, 2023

Achieving operational excellence while deploying innovative technologies is not an either/or proposition as far as Christian Mate is concerned. But while the report found that growth was important, it was outranked by improving the customer experience and operational excellence.

Strategy 137

Strategy Technology Experimentation Testing 137

CIO Business Intelligence

FEBRUARY 27, 2024

How do you handle an intricate array of devices, cloud applications, and workloads, especially when users are located everywhere? How do you handle an intricate array of devices, cloud applications, and workloads, especially when users are located everywhere? Navigating these complexities can be challenging.

Risk 97

Risk Predictive Analytics Machine Learning Technology 97

CIO Business Intelligence

DECEMBER 28, 2023

Many technology leaders already worked with AI for over a decade for things like predictive maintenance and supply chain planning. But even CIOs who had solid experience with AI were surprised by how fast ChatGPT was adopted. Others explored how the new technology could help write code or create content.

IT 128

IT Manufacturing Machine Learning IoT 128

CIO Business Intelligence

JANUARY 5, 2024

During this time, thanks to the period of reflection the health crisis afforded and the opportunity to dedicate time to innovate, González-Peralta initiated a stronger shift to technology and digitalization to better realize the transformation plan the multinational started shortly before his arrival. How have you rebuilt all the IT talent?

IT 116

IT Finance Cost-Benefit Strategy 116

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Agreeing on metrics.

Marketing 362

Marketing Experimentation Metrics Testing 362

CIO Business Intelligence

SEPTEMBER 12, 2022

So much has changed since the early days of 2020 when the COVID-19 pandemic forced organizations to rethink where and how people work. For CIOs and IT leaders, that meant adopting a sink-or-swim mentality, and accelerating initiatives even as they transitioned to remote work. Prioritize time for experimentation.

Experimentation 133

Experimentation Consulting Technology Machine Learning 133

CIO Business Intelligence

JANUARY 19, 2023

Pfeiffer is a technology leader who’s as dedicated to excellence in operations and delivery as she is to maintaining a focus on innovation. She joined Nutanix as SVP and CIO following a successful career leading technology teams at companies like GoPro, Yahoo, Cisco Systems, and Robert Half. Technology is different.

Technology 116

Technology Interactive Forecasting Visualization 116

CIO Business Intelligence

OCTOBER 11, 2023

A complex mix of macroeconomic instability, technological advancements, and digital disruption has businesses in search of IT leaders who can rise to the occasion and turn what could be intractable challenges into business opportunities. These are testing times for CIOs. This lack of readiness doesn’t look good.

Technology 137

Technology Enterprise Strategy Risk 137

CIO Business Intelligence

JULY 10, 2023

It’s become a truism that people don’t leave bad jobs, they leave bad managers and challenging cultures. According to a recent survey by FlexJobs , a toxic company culture (62%) and poor management (56%) were among the top three reasons given by people who had recently quit. How do you deal with these people?

Cost-Benefit 137

Cost-Benefit Sales Technology Management 137

Smart Data Collective

JANUARY 8, 2021

It has led to some of the most important and pressing discoveries. The AI revolution is causing a huge problem for people who want their lives to be private. There have been times when an artificial intelligence bot was able to predict that someone was pregnant before they even knew. The market was worth $39.9 The AI Revolution.

Data Governance 120

Data Governance Machine Learning Statistics Advertising 120

Smart Data Collective

AUGUST 11, 2022

Research conducted by the Harvard Business Review found that the interaction between machines and humans significantly improves firms’ performance. Successful collaboration between humans and machines enhances each other’s strengths, including teamwork, leadership, creativity, speed, scalability, and quantitative capabilities.

Data Quality 127

Data Quality Machine Learning Digital Transformation Big Data 127

IBM Big Data Hub

FEBRUARY 23, 2024

Today, people don’t just prefer instant communication; they expect it. Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development.

Enterprise 106

Enterprise Interactive Data-driven Key Performance Indicator 106

CIO Business Intelligence

SEPTEMBER 10, 2022

Poonam Mohan, vice president of corporate technology at American Airlines, oversees many of the airline’s AI and data analytics initiatives and has been fundamental to implementing Leibman’s vision. Poonam Mohan, vice president of corporate technology, American Airlines. It always has planes in the air around the world. “We

Analytics 145

Analytics Machine Learning Digital Transformation Data Warehouse 145

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. What is model debugging?

Machine Learning 190

Machine Learning Modeling Testing Risk Management 190

DataKitchen

FEBRUARY 21, 2023

To add fuel to the fire, a few weeks ago, one of the most talented people in the group left. Adopt DataOps Practices : “Successful data engineering teams are cross-functional and adopt DataOps practices.” Focus on Customer Value First: “Organizations that focus on business value, as opposed to technological enhancements ….

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

CIO Business Intelligence

JANUARY 11, 2023

As technology projects, budgets, and staffing grew over the past few years, the focus was on speed to market to maximize opportunity, says Troy Gibson, CIO services leader at business and IT advisory firm Centric Consulting. However, they are especially important as CIOs help guide their enterprises through challenging times,” Perez notes.

Digital Transformation 145

Digital Transformation Cost-Benefit Consulting Enterprise 145

CIO Business Intelligence

MAY 18, 2023

Why not pick up a book that will inspire you to be a more effective leader, help you spot challenges and pitfalls in your IT strategies and processes, or prepare for the future of information technology? and the owner of UX Magazine. “This is the technology book every business and technology leader needs to read,” says Comes.

IT 130

IT Software Recreation/Entertainment Technology 130

Ontotext

FEBRUARY 1, 2024

Earlier this month at KMWorld in Washington DC I got to meet many of Synaptica’s clients, technology partners, as well as some new faces from the community. 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.

Enterprise 59

Enterprise Management Metadata Modeling 59

CIO Business Intelligence

JUNE 8, 2023

s senior vice president and CIO, Anu Khare leads the specialty truck maker’s intelligent enterprise agenda, which includes data science and artificial intelligence practice, digital manufacturing, cybersecurity, and technology shared services to drive technology-enabled business transformation. In his role as Oshkosh Corp.’s

Manufacturing 98

Manufacturing Digital Transformation Strategy Sales 98

Jen Stirrup

SEPTEMBER 30, 2021

How can we can adopt a mindshift from Business Intelligence to advanced analytics using Azure ML? Although CRISP-DM is not perfect , the CRISP-DM framework offers a pathway for machine learning using AzureML for Microsoft Data Platform professionals. Machine Learning analyses a search space, but it is not human-inspired.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

CIO Business Intelligence

OCTOBER 3, 2023

However since then great strides have been made in machine learning and artificial intelligence. Mordor Intelligence sees the increasing incorporation of machine learning tools into hyperautomation products as being one of the main drivers of market growth. It’s been around since the early 2000s. This is hyperautomation.

Cost-Benefit 122

Cost-Benefit Machine Learning Interactive Software 122

CIO Business Intelligence

JUNE 7, 2022

More companies in every industry are adopting artificial intelligence to transform business processes. But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board. Data scientist. Data scientists are the core of any AI team.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145

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. As so often happens with new technologies, the question is whether to build or buy. CIOs want to take advantage of this but on their terms—and their own data.

Modeling 98

Modeling Machine Learning Cost-Benefit B2B 98

Data Science 101

OCTOBER 15, 2023

I’d known him when I was at Red Hat in Australia, working on products such as JBoss, and then kept in touch when I moved to SF and founded a SaaS company. That’s the challenge in a new industry, and it’s still somewhere between science and technology. What is the biggest challenge in Quantum Computing adoption currently?

Risk 107

Risk Marketing Consulting Technology 107

Smart Data Collective

JANUARY 30, 2023

AI technology has significantly disrupted the world of business. One of the most important is to use AI to improve the quality of your websites. AI Has Become Crucial for Web Design as User Expectations Rise As more businesses adopt a digital approach, having a visually appealing website is essential for success.

Technology 85

Technology Optimization Machine Learning Marketing 85

CIO Business Intelligence

JANUARY 9, 2023

Three years ago, IT leaders were squarely focused on how to adopt fledgling AI techniques and approaches into their business models in service of digital transformations that included plans for shifting some workloads to the cloud. Recruiting, retainment, and yes, adoption of lead-edge technology, are back on the radar of IT leaders.

IT 145

IT Uncertainty Cost-Benefit Digital Transformation 145

CIO Business Intelligence

AUGUST 17, 2023

CMS’ success is a testimony to its business model and the robust technology backing its operations. This is courtesy the technological infrastructure, helmed by Pushkal Tenjerla, a tech leader whose palpable passion for cybersecurity and secure operations has him leading the charge for CMS’ ironclad cash management systems.

Management 98

Management IoT Digital Transformation Software 98

CIO Business Intelligence

SEPTEMBER 8, 2022

Every ten years it seems there is a new technology that is going to change the world, but all too often only leads to disappointment when adopting it becomes too challenging. For several decades this has been the story behind Artificial Intelligence and Machine Learning. Where are the success stories?

Machine Learning 115

Machine Learning Cost-Benefit Data-driven Digital Transformation 115

CIO Business Intelligence

MARCH 16, 2022

With competition for skilled IT workers getting tighter, it’s more important than ever for enterprises to be sure they’re spending on recruiting and retaining the right talent. Identifying which emerging technologies will prove most useful is a challenge, though. What are the key technologies in those systems? Customer needs.

Forecasting 98

Forecasting Machine Learning Technology Enterprise 98