CIO Business Intelligence

NOVEMBER 9, 2023

And your technical leaders and hands-on practitioners—rightly, in our view, as I wrote about previously —aren’t intimidated by generative AI applications: More than half are “very” or “extremely” confident that they have the skill set to build generative AI applications. But the jury is already in on generative AI.

Experimentation 132

Experimentation Uncertainty Strategy Machine Learning 132

CIO Business Intelligence

MAY 2, 2024

The trick, they say, is to build a team that has the right mix of organizational trust, psychological safety, and freedom to resist. Here are their tips on creating that cultural brew. When a necessary change hits your IT team, getting everyone to buy in and adapt is key — and challenging. A healthy team is used to it. Why fix it?’”

IT 137

IT Experimentation Software Management 137

CIO Business Intelligence

JULY 28, 2023

In addition to bottom-line benefits, employees are often inspired and motivated by innovation – seeking job opportunities that encourage experimentation and embrace new ideas. To manage this data at scale, IT teams should invest in a modern data stack and build out a world-class architecture to maintain an agile edge as the company grows.

IT 98

IT Experimentation Digital Transformation Marketing 98

IBM Big Data Hub

MARCH 4, 2024

Become an AI+ enterprise An AI+ enterprise innovates with AI as the primary focus, understands that AI is fundamental to the entire business, and recognizes that AI impacts all aspects of the business: product innovation, business operations, technical operations, as well as people and culture. times higher ROI.

Enterprise 104

Enterprise ROI Risk Strategy 104

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT. There are ample reasons why 77% of IT professionals are concerned about shadow IT, according to a report from Entrust.

IT 135

IT Risk Cost-Benefit Risk Management 135

CIO Business Intelligence

JUNE 15, 2023

Enterprises can help their employees make that transition from concern to optimism, according to Nicolas de Bellefonds, global leader of AI at BCG X, the company’s technology build and design unit. For many, their feelings are based on sound experience. A lot has happened since that last survey on attitudes to AI in 2018.

Management 112

Management Experimentation Optimization Enterprise 112

CIO Business Intelligence

FEBRUARY 26, 2024

New projects can elicit a sense of trepidation from employees, and the overall culture into which change is introduced will reflect how that wariness is expressed and handled. Agile teams have a resilience that’s critical to success when trying to build and implement AI solutions to problems.

Experimentation 122

Experimentation Cost-Benefit Digital Transformation Risk 122

CIO Business Intelligence

JANUARY 2, 2024

Build better business alignment Multiple CIOs plan to strengthen their ties to other functional areas in ’24, building on the work they’ve done in recent years to create even more synergy. It requires a shift in cultural mindset, one that alters how the organization functions operationally. Claffey Jr.,

IT 144

IT Cost-Benefit Statistics Consulting 144

CIO Business Intelligence

APRIL 2, 2024

Over the past decade, CIOs have invested significantly in digital transformation initiatives in an effort to improve customer experiences, build data analytics capabilities, and deliver productivity enhancements with automation. Unfortunately, the business impact of many digital transformations continues to fall short of expectations.

Management 125

Management Digital Transformation Testing Experimentation 125

CIO Business Intelligence

SEPTEMBER 12, 2022

Here, they and others share seven ways to create and nurture a culture of innovation. Prioritize time for experimentation. So much has changed since the early days of 2020 when the COVID-19 pandemic forced organizations to rethink where and how people work. Fast-forward to 2022. Mike Crowe, CIO, Colgate-Palmolive. Colgate-Palmolive.

Experimentation 131

Experimentation Consulting Technology Machine Learning 131

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94% Here’s how.

Digital Transformation 142

Digital Transformation Unstructured Data Machine Learning Risk Management 142

CIO Business Intelligence

SEPTEMBER 9, 2022

There is, for example, far more creativity involved in building software than is typically imagined. If you task a developer with building a widget, the time they spend fretting about how to make it reusable can net unpredictable benefits down the road. The programmer is driven by and dependent upon this creative aspect of coding.

Software 131

Software Experimentation Measurement Marketing 131

CIO Business Intelligence

APRIL 26, 2023

This creates a culture of ‘ladder-climbing’ rather than a focus on continuous training, learning, and improvement,” says Nicolás Ávila, CTO for North America at software development firm Globant. To keep teams engaged and reaching toward goals, Ávila suggests individualizing skill-building while periodically creating skill-focused missions.

IT 103

IT Experimentation Forecasting Technology 103

CIO Business Intelligence

FEBRUARY 21, 2024

Building a team is becoming much more complicated because the inherent tendency among technical individuals to work alone is enhanced by AI,” says Lev Gonick, CIO of Arizona State University. But their commitment is becoming more demanding and complex as AI, in its many applications, rises to the top of the syllabus.

Recreation/Entertainment 131

Recreation/Entertainment Experimentation Modeling Data-driven 131

CIO Business Intelligence

APRIL 6, 2022

It emphasizes the Infosys and AWS cultures of innovation , and identifies the right challenges to solve to deliver maximum benefits to the customer. Living Labs brings together a culture of exploration and innovation, design, and emerging technology to foster joint innovation with customers.

Experimentation 87

Experimentation Data Lake Uncertainty Enterprise 87

IBM Big Data Hub

MAY 25, 2023

Generative AI has progressed quickly beyond experimentation; businesses are embracing it to improve customer service, seize new market opportunities and more. IBM Consulting has established a Center of Excellence for generative AI. The CoE is off to a fast start.

Consulting 106

Consulting Experimentation Machine Learning Modeling 106

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. Belcorp operates under a direct sales model in 14 countries.

Digital Transformation 93

Digital Transformation Cost-Benefit Informatics Data mining 93

CIO Business Intelligence

OCTOBER 9, 2023

What helps Mate and his team achieve the push-and-pull of digitizing while maintaining quality service is Elara’s culture, which encourages employees to experiment — but make decisions quickly and fail fast when projects are not panning out — as well as investing in people who can bring new ideas and perspectives.

Strategy 136

Strategy Technology Experimentation Testing 136

O'Reilly on Data

APRIL 19, 2021

In the past, company culture has been the most significant barrier to AI adoption. While it’s still an issue, culture has dropped to fourth place. During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. This year, we had a total of 5,154.

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

CIO Business Intelligence

FEBRUARY 8, 2024

At the enterprise level, these principles are required to: lead transformation; future-proof our firm; deliver extraordinary experiences to stakeholders; simplify and modernize all that we do; maximize culture, talent, and opportunity for all; and create a place of belonging where bringing our whole self makes us all better.

Strategy 89

Strategy Experimentation Risk Technology 89

Corinium

JUNE 6, 2019

Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service. We see CDAOs grapple with challenges across multiple dimensions: 1. Regulations and compliance requirements, especially around pricing, risk selection, etc.,

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

APRIL 26, 2023

More than an experimental group, they hold themselves accountable the same way any startup should. “Startup” means risk. It prescribes small teams of individuals committed to an idea to make the world a better place…or to make themselves a little richer. Why not both? The alternative is shuttering for good. Miss a deadline?

Technology 52

Technology Marketing Experimentation Modeling 52

Cloudera

SEPTEMBER 17, 2020

A large oil and gas company was suffering over not being able to offer users an easy and fast way to access the data needed to fuel their experimentation. To address this, they focused on creating an experimentation-oriented culture, enabled thanks to a cloud-native platform supporting the full data lifecycle.

Experimentation 84

Experimentation Data Warehouse Dashboards Visualization 84

CIO Business Intelligence

DECEMBER 29, 2023

Building and deploying intelligent automation CIOs will need to operate more efficiently by accelerating the benefits of automation. Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. Here, we detail those and others that comprise eight of the top priorities for CIOs in 2024.

Cost-Benefit 137

Cost-Benefit Digital Transformation Consulting Strategy 137

DataRobot

JULY 27, 2021

Last fall, I penned a blog post around our Series F funding, focused on the fact that the era of experimental AI is over. AI needs to be a core part of every company’s strategy and culture, as well as a top company initiative with a focus on measurable results tied to value. . An Unprecedented Market Opportunity.

Machine Learning 98

Machine Learning Experimentation Modeling Forecasting 98

DataKitchen

OCTOBER 5, 2021

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. Imagine if a car company asked the engineers who designed cars to also build them. DataOps is a set of practices, cultural norms and architecture patterns that help data professionals deliver value quickly. Source: Wikipedia.

Testing 157

Testing Dashboards Measurement Experimentation 157

IBM Big Data Hub

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. Imagine a self-driving car piloted by an AGI.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

Decision Management Solutions

MAY 12, 2021

The answer lies in building out your decision-making process. It’s critical to start the process proactively—while your experts are still active in their roles at your company—by building a model based on a key decision. You know who they are—the members of the brain trust in your organizations. It’s not as onerous as it may sound.

Experimentation 52

Experimentation Modeling Insurance Management 52

CIO Business Intelligence

JUNE 27, 2022

I had a chance to ask Cramer some questions about continuous shipment, software development, building a startup, and more. I had a chance to ask Cramer some questions about continuous shipment, software development, building a startup, and more. The company recently completed a series E funding round at $90M for a valuation of $3B.

Software 105

Software Experimentation Testing Marketing 105

Sisense

JUNE 30, 2019

However, one of the first questions you need to answer as you build your strategy is “So, what do we want to do with all this data? What does your company do? . That was a trick question. Data Strategies for the Uninitiated. First off, “So, what even is a data strategy anyway?” This sounds like a tall order and you may be thinking “Oh man!

Data Strategy 71

Data Strategy Strategy Consulting Experimentation 71

Insight

APRIL 28, 2020

For this reason, teams “screen” their candidates with a series of short technical and/or behavioral interviews to gauge their problem-solving abilities, experience, and cultural fit. What to evaluate: How will this person contribute to your culture? What to evaluate: How will this person contribute to your culture?

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

Alation

SEPTEMBER 28, 2022

DataOps is a set of technologies, processes, and best practices that combine a process-focused perspective on data and the automation methods of the Agile software development methodology to improve speed and quality and foster a collaborative culture of rapid, continuous improvement in the data analytics field. What Is DataOps?

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Occam's Razor

FEBRUARY 7, 2022

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. And yet, chances are you really don’t know anyone directly who uses experimentation as a part of their regular business practice. Wah wah wah waaah.

Experimentation 101

Experimentation Testing Optimization Marketing 101

Business Over Broadway

MAY 22, 2019

Roadblocks for executives that prevent them from moving forward on their digital transformation initiatives: Roadblocks include poor culture, lack of skills, lack of funding, and, maybe, most importantly, no clear problem statement for why they are wanting/needing digital transformation. IoT Artificial Intelligence.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Occam's Razor

JULY 24, 2018

The universe of digital analytics is massive and can seem as complex as the cosmic universe. With such big, complicated subjects, we can get lost in the vast wilderness or become trapped in a silo. We can wander aimlessly, or feel a false sense of either accomplishment or frustration. That’s because we have to talk about tools (so many!),

Analytics 93

Analytics Metrics Strategy Measurement 93

Smart Data Collective

APRIL 13, 2023

Building a resilient IT team during an economic downturn seems like an impossible challenge, especially if you’re facing budget limitations and staffing shortages. The journey to building a more resilient IT team begins with setting and understanding your primary objectives. So, how can you approach it? Hire wisely.

IT 99

IT KPI Experimentation Strategy 99