Rocket-Powered Data Science

FEBRUARY 15, 2023

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? encouraging and rewarding) a culture of experimentation across the organization. Encourage and reward a Culture of Experimentation that learns from failure, “ Test, or get fired!

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

CIO Business Intelligence

MAY 16, 2024

This has led to big claims that run the risk of hype and disappointment down the line. The new AI features are currently being rolled out experimentally to some customers, Camunda said. They will be added to Camunda 8.5 more generally over the next six months. Business Process Management, Generative AI, Process Improvement

Experimentation 98

Experimentation Machine Learning Technology Modeling 98

CIO Business Intelligence

APRIL 14, 2023

But just like other emerging technologies, it doesn’t come without significant risks and challenges. According to a recent Salesforce survey of senior IT leaders , 79% of respondents believe the technology has the potential to be a security risk, 73% are concerned it could be biased, and 59% believe its outputs are inaccurate.

Risk 122

Risk Experimentation Marketing Risk Management 122

CIO Business Intelligence

OCTOBER 5, 2023

Sandeep Davé knows the value of experimentation as well as anyone. Davé and his team’s achievements in AI are due in large part to creating opportunities for experimentation — and ensuring those experiments align with CBRE’s business strategy. And those experiments have paid off.

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

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.

IT 137

IT Risk Cost-Benefit Risk 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. You want to have a cloud data platform that allows for fast set up and time to market, but it also needs to integrate with modern architecture.

IT 98

IT Experimentation Digital Transformation Marketing 98

CIO Business Intelligence

AUGUST 30, 2023

To capitalize on the gains offered by digital technologies, CIOs are building technology portfolios by allocating diverse investments based on prospective risk, reward, and value. Such a risk-based capital approach is important as it provides a new experimental push to the organization that may propel it into a new orbit,” says Rabra.

Digital Transformation 106

Digital Transformation Experimentation ROI Risk 106

Smart Data Collective

OCTOBER 13, 2021

The market for AI technology is growing remarkably. Businesses spend a lot of time and resources on marketing to stand out from their competition. While marketing remains relevant and essential, AI technology provides endless opportunities that create a massive edge between you and your competitors. Leverage innovation.

Technology 120

Technology Cost-Benefit Experimentation Machine Learning 120

CIO Business Intelligence

DECEMBER 7, 2023

Over the last year, generative AI—a form of artificial intelligence that can compose original text, images, computer code, and other content—has gone from experimental curiosity to a tech revolution that could be one of the biggest business disruptors of our generation.

Insurance 89

Insurance Experimentation Finance Data Governance 89

CIO Business Intelligence

OCTOBER 9, 2022

However, delay too long, and you also risk giving yourself an insurmountable technological handicap if uptake in your industry suddenly accelerates. The benefits of the experimentation and iterative progression Agile enables are never more apparent than when we’re exploring uncertain and dynamic environments. Agile Development

Cost-Benefit 142

Cost-Benefit Manufacturing Experimentation Risk 142

Ontotext

JULY 6, 2023

Let’s consider an example about risk and opportunity event detection. Case studies The risk and opportunity event detection use case discussed above combines all of Ontotext’s capabilities: storing and managing large amounts of data adding meaning to it (e.g.,, The crypto world, for example, is looking for this type of service.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Domino Data Lab

JANUARY 24, 2019

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Reflections. The three segments that have crystallized are: Automation tools. Automation Tools.

Data Science 65

Data Science Marketing Data-driven Statistics 65

CIO Business Intelligence

JULY 3, 2023

Rather than relying on APIs provided by firms such as OpenAI and the risks of uploading potentially sensitive data to third-party servers, new approaches are allowing firms to bring smaller LLMs inhouse. However, the AI future for many enterprises lies in building and adapting much smaller models based on their own internal data assets.

Management 106

Management Experimentation Modeling Enterprise 106

CIO Business Intelligence

AUGUST 17, 2023

But, as with any big new wave, there is a risk of once-promising projects being washed up and there are clear and obvious concerns over governance, quality and security. We ran workshops with every division of our business, educating them on the accelerating innovation in this area, brainstorming opportunities and risks.

Risk 98

Risk Cost-Benefit Strategy Experimentation 98

DataRobot Blog

NOVEMBER 15, 2022

At the event, a financial services panel discussion shared why iteration and experimentation are critical in an AI-driven data science environment. While GCash has been growing exponentially as a disruptor in the financial market, the importance of being able to bring everyone along on the journey—even non-technical stakeholders—is crucial.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52

Cloudera

OCTOBER 18, 2023

In the ever-evolving landscape of the financial services Industry, change is a constant and transformation is a requirement — to stay at pace with new regulations, risk mitigation, and the technological developments that support transformation.

Cost-Benefit 76

Cost-Benefit Testing Machine Learning Optimization 76

IBM Big Data Hub

DECEMBER 4, 2023

The surge in adoption of generative AI is happening in organizations across every industry, and the generative AI market is projected to grow by 27.02% in the next 10 years according to Precedence Research. And the abundance of data available for training models has opened up vast possibilities for experimentation and learning.

Experimentation 67

Experimentation Modeling Metrics Machine Learning 67

CIO Business Intelligence

FEBRUARY 21, 2024

If you don’t know these tools, you’re at a disadvantage in the job market.” We just happen to have some of the best athletic programs in the country as well, requiring us to stay on the cutting edge of sports marketing and entertainment.” We now use AI to help faculty understand some of those risk factors,” says Fozard.

Recreation/Entertainment 135

Recreation/Entertainment Experimentation Modeling Data-driven 135

Data Science 101

OCTOBER 15, 2023

Others like Rigetti and IonQ went public early (the former risking delisting and the latter a huge SPAC). It’s essential to understand the capital markets and where funding comes from for Deep Tech (or “Frontier Tech” as I like to call it). As this dictates product release cycles, PR and marketing, hiring, etc. That’s a risk.

Risk 107

Risk Marketing Consulting Technology 107

IBM Big Data Hub

MAY 25, 2023

The Center of Excellence (CoE) already has more than 1,000 consultants with specialized generative AI expertise that are engaging with a global set of clients to drive productivity in IT operations and core business processes like HR or marketing, elevate their customer experiences and create new business models.

Consulting 107

Consulting Experimentation Machine Learning Modeling 107

Cloudera

OCTOBER 4, 2023

In financial services, fast-moving data is critical for real-time risk and threat assessments. We can get to faster root-cause analysis and become proactive instead of reactive to changes in markets, business operations, and customer behavior. With this, we can reduce customer churn and overall network operational costs.

Data Warehouse 84

Data Warehouse Experimentation Cost-Benefit Dashboards 84

CIO Business Intelligence

FEBRUARY 22, 2024

With the aim to accelerate innovation and transform its digital infrastructures and services, Ferrovial created its Digital Hub to serve as a meeting point where research and experimentation with digital strategies could, for example, provide new sources of income and improve company operations.

IT 106

IT Digital Transformation IoT Cost-Benefit 106

CIO Business Intelligence

JULY 27, 2023

a global solutions provider in the national security and critical infrastructure markets, early instances of shadow AI spurred a conversation between Karen Wright, vice president of IT strategy, products, and commercialization, and her cybersecurity counterpart at Parsons. This followed a ChatGPT hackathon to identify security risks. “It

IT 98

IT Insurance Strategy Risk 98

O'Reilly on Data

MARCH 31, 2020

You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies. AI doesn’t fit that model.

Management 332

Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

OCTOBER 18, 2023

But if there are any stop signs ahead regarding risks and regulations around generative AI, most enterprise CIOs are blowing past them, with plans to deploy an abundance of gen AI applications within the next two years if not already. Still, as Whyde concedes, “some of the concern around risk of adoption of AI is distressing.”

Risk 141

Risk Manufacturing Enterprise Technology 141

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. This allowed us to derive insights more easily.”

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

DataRobot Blog

MARCH 16, 2023

Artificial intelligence is undoubtedly having a moment – and in response to market hype and increased AI investments, we’re even seeing tech companies reinvent themselves with AI identities. We are offering customers rapid experimentation and value identification, with both code-first and no-code approaches.

Experimentation 52

Experimentation Data-driven Measurement Enterprise 52

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. Code (62%) : Gen AI helps developers write code more efficiently and with fewer errors.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

CIO Business Intelligence

MAY 16, 2023

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. Gaming: Companies behind popular video games argue that their virtual worlds are the closest thing resembling a “metaverse” on the market.

Advertising 105

Advertising Recreation/Entertainment Experimentation Enterprise 105

CIO Business Intelligence

JULY 6, 2022

Our strategy is essentially to leverage the public cloud’s economies of scale, to drive business value, to lower risk, to increase resiliency, and really to ensure our infrastructure is evergreen. This includes scaling during market events, avoiding missing windows, avoiding missing service-level agreements.

Experimentation 98

Experimentation Strategy Testing Risk 98

CIO Business Intelligence

APRIL 6, 2022

Large enterprises that have traditionally been risk-averse are now adopting new approaches such as investing in design and innovation studios, partnering with startups for niche capabilities, and gaining early access to technology through strategic partnerships with hyper-scalers.

Experimentation 104

Experimentation Data Lake Uncertainty Enterprise 104

CIO Business Intelligence

JULY 31, 2023

1 question now is to allow or not allow,” says Mir Kashifuddin, data risk and privacy leader with the professional services firm PwC US. Rapidly evolving risks Companies that have blocked the use of gen AI are finding that some workers are still testing it out. The CIO’s job is to ask questions about potential scenarios.

Strategy 98

Strategy Risk Enterprise Risk Management 98

Smart Data Collective

JULY 9, 2023

Optimizing Conversion Rates with Data-Driven Strategies A/B Testing and Experimentation for Conversion Rate Optimization A/B testing is essential for discovering which version of your website’s elements are most effective in driving conversions. Experimentation is the key to finding the highest-yielding version of your website elements.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

CIO Business Intelligence

JUNE 28, 2023

For all of generative AI’s allure, large enterprises are taking their time, many outright banning tools like ChatGPT over concerns of accuracy, data protection, and the risk of regulatory backlash. Experimentation with a use case driven approach. Caution is king. Looking forward.

Enterprise 52

Enterprise Experimentation Risk Data-driven 52

IBM Big Data Hub

DECEMBER 5, 2023

This data tracks closely with a recent IDC Europe study that found 40% of worldwide retailers and brands are in the experimentation phase of generative AI, while 21% are already investing in generative AI implementations. The impact of these investments will become evident in the coming years. trillion on retail businesses through 2029.

Unstructured Data 95

Unstructured Data Cost-Benefit Experimentation Machine Learning 95

CIO Business Intelligence

APRIL 26, 2023

“Startup” means risk. Regardless, new business ventures work under pressure to research, refine, and deliver an idea to the market. But despite the high risk/reward framework, these Victory-or-Bust ventures don’t have the market cornered on agility and innovation. Why not both? The alternative is shuttering for good.

Technology 52

Technology Marketing Experimentation Modeling 52

CIO Business Intelligence

JULY 11, 2023

Technology people are always after the shiny new toy but it’s important to highlight the difference between experimentation and innovation, and actually implementing something in your business,” she says. When Thaver makes decisions, she considers how to protect the existing business by assessing the risks around new tech.

Cost-Benefit 75

Cost-Benefit Experimentation Technology Interactive 75