CIO Business Intelligence

NOVEMBER 15, 2022

Experiment with the “highly visible and highly hyped”: Gartner repeatedly pointed out that organisations that innovate during tough economic times “stay ahead of the pack”, with Mesaglio in particular calling for such experimentation to be public and visible. Artificial Intelligence, Digital Transformation, Innovation, Machine Learning

Digital Transformation 143

Digital Transformation Experimentation Risk Metrics 143

CIO Business Intelligence

OCTOBER 1, 2022

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Data and AI as digital fundamentals.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

CIO Business Intelligence

APRIL 12, 2024

The tech team uses AI machine learning operations (AI MLOps) and AI large language model operations (LLMOps) practices. The use of AI in the retail sector is in the experimental stage, and many retailers have gotten only as far as using AI-powered chatbots on websites, Kodali adds.

Experimentation 115

Experimentation Sales Digital Transformation Metrics 115

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. Sara added that driving digital transformation was not just a technology initiative—but rather an all-encompassing change management exercise. Explore the DataRobot platform today.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52

bridgei2i

DECEMBER 4, 2019

With increasing mainstream acceptance and adoption of AI-led technologies, C-suite executives today have gone beyond committing ‘digital experimentation’ to large scale Digital Transformation, be it pan-enterprise or functional.

Enterprise 64

Enterprise Digital Transformation Consulting Experimentation 64

CIO Business Intelligence

JUNE 16, 2022

Analysts and data scientists need flexibility when working with data; experimentation fuels the development of analytics and machine learning models. If data is difficult to work with, experimentation slows down, and consequently, so does innovation. Digital transformation has actually contributed to this complexity.

IT 133

IT Experimentation IoT Data-driven 133

CIO Business Intelligence

MARCH 7, 2023

The message to CIOs is to do more with less, and the implication is that CIOs must look at digital transformation initiatives differently than in years past. Force-multiplying digital transformation initiatives aim to accomplish multiple strategic objectives through a single vision and investment.

Digital Transformation 145

Digital Transformation Data Governance Experimentation Machine Learning 145

CIO Business Intelligence

MAY 10, 2023

A handful of businesses are already doing so as they transition from just adopting digital transformation to embodying what it means to be a digital business. Whereas digital transformation in its earliest iteration—digital transformation 1.0—focuses

Enterprise 52

Enterprise Digital Transformation Internet of Things B2B 52

CIO Business Intelligence

APRIL 18, 2022

Organizations that continued full speed ahead with their digital transformation initiatives during the COVID-19 pandemic are able to ruminate on what went right and what they would have done differently, with the benefit of hindsight. But there are lesser-known, less obvious attributes of a successful digital program.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

CIO Business Intelligence

FEBRUARY 14, 2024

It also means many more machine identities to manage, says Murali Palanisamy, chief solutions officer at IAM platform provider AppViewX. Digital transformation as a whole has driven a significant increase in the use of connected devices, cloud services, and native cloud and containerized applications,” he says.

IT 143

IT Metadata Data-driven Management 143

Decision Management Solutions

DECEMBER 17, 2021

In the recent McKinsey article discussing designing next-generation credit-decisioning models they outlined four best practices for automated credit-decisioning models for banks as they continue their digital transformations. Digital lending based on high-performance credit-decisioning models, says McKinsey, lead to: Increased revenue.

Modeling 52

Modeling Experimentation Visualization Risk 52

CIO Business Intelligence

OCTOBER 9, 2023

Renganathan is keenly aware that to do so requires not only investing in technology to digitally transform its processes but also practicing the principle of “people helping people,’’ and balancing the ability to innovate and grow with achieving efficiencies.

Strategy 137

Strategy Technology Experimentation Testing 137

Sisense

MARCH 26, 2021

To achieve this, he says, companies should find ways to lower the cost of experimentation, decrease the time to value, and scale successful experimentation into products quickly. When it comes to using data to increase innovation, Charles is a proponent of making organizations into what he calls “revenue stream innovation factories.”

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

DataRobot

JUNE 8, 2021

Although modern medicine is founded on rigorous experimental design and statistical analysis, and many research studies have shown the superiority of objective analysis over human intuition, medical AI adoption will depend on consumer receptivity and trust in this new technology. Individualization.

Data-driven 98

Data-driven Testing Marketing Experimentation 98

Ontotext

APRIL 3, 2024

Aurelije Zovko : For me, it is a digital transformation. W hen you try to automate business processes, semantics, and machine learning , knowledge graphs can bring a lot of value. Nimit Mehta: I think that 2024 is going to be a buckle-down year, but, at the same time, we’ll see a rapid explosion of experimentation.

Technology 59

Technology Risk Digital Transformation Measurement 59

Cloudera

APRIL 13, 2021

You’ve probably heard it more than once: Machine learning (ML) can take your digital transformation to another level. Unfortunately, most organizations run into trouble when it comes to bridging the gap that exists between experimentation and full-scale ML production. Still, at its core, ML is about science.

Machine Learning 98

Machine Learning Enterprise Experimentation Modeling 98

Hurwitz & Associates

JULY 19, 2018

He sees opportunities for digital transformation in data centers; deployment of hybrid cloud and multi-cloud computing. Scalable memory will play a larger role in analytics, leveraging AI and machine learning (ML). For HPE, very large memory is becoming a catalyst for enabling data-intensive analytics.

Strategy 40

Strategy Data-driven Experimentation Software 40

CIO Business Intelligence

APRIL 24, 2024

That includes many technologies based on machine learning, such as sales forecasting, lead scoring and qualification, pricing optimization, and customer sentiment analysis. Not only is gen AI still a new and experimental technology that’s evolving quickly but is, by its very nature, probabilistic and nondeterministic.

Sales 128

Sales Finance Experimentation Cost-Benefit 128

Rocket-Powered Data Science

JULY 6, 2021

2) MLOps became the expected norm in machine learning and data science projects. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

Rocket-Powered Data Science

OCTOBER 16, 2020

First, we heard how Big Data, Data Science, Machine Learning (ML) and Advanced Analytics would have the honor to be the technologies that would cure cancer, end world hunger and solve the world’s biggest challenges. In my chat with Joe, we talked about many data concepts in the context of enterprise digital transformation.

Digital Transformation 142

Digital Transformation Experimentation Data Strategy Strategy 142

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AutoML tools: Automated machine learning, or autoML, supports faster model creation with low-code and no-code functionality.

Machine Learning 75

Machine Learning Manufacturing Cost-Benefit Deep Learning 75

CIO Business Intelligence

OCTOBER 4, 2022

As a result, IT and business leaders are working together on data-driven initiatives, buttressed through artificial intelligence (AI) and machine learning (ML), to create more value for customers, which in turn creates more value for the business. But how can they actually build a CX mindset into broader digital transformation efforts?

Data-driven 109

Data-driven Machine Learning Interactive Predictive Analytics 109

AWS Big Data

NOVEMBER 14, 2023

With data streaming, you can power data lakes running on Amazon Simple Storage Service (Amazon S3), enrich customer experiences via personalization, improve operational efficiency with predictive maintenance of machinery in your factories, and achieve better insights with more accurate machine learning (ML) models.

IoT 56

IoT Data-driven Data Lake Data Strategy 56

Sisense

JULY 1, 2021

“We know in marketing that one of the most powerful ideas is experimentation,” Scott told Sisense. What has held that back is that the gap between idea and implementation has been a real bottleneck for how much experimentation can happen.”. We’re leaning on more and more machines to help us identify patterns or anomalies,” said Scott.

Marketing 52

Marketing Experimentation Marketing Analytics ROI 52

CIO Business Intelligence

JULY 6, 2023

His responsibilities span the entire IT spectrum, encompassing the IT infrastructure and network, Security, SAP, Business applications, Data Analytics, and digital footprint. He is guiding digital transformation across the organization for the last 4 years. Only experimentation can help to improve this index.

Digital Transformation 98

Digital Transformation Experimentation Recreation/Entertainment Technology 98

DataRobot

APRIL 29, 2021

This year’s theme of The Hunt for Transformational Growth is designed to help organizations unleash the power of enterprise AI to improve forecasts, generate actionable insights, and unlock exponential growth for businesses worldwide. Eric Weber is Head of Experimentation And Metrics for Yelp.

Machine Learning 59

Machine Learning Experimentation Data-driven Data Science 59

CIO Business Intelligence

MARCH 6, 2023

Frazer says Shutterstock has a dedicated team building AI algorithms and new machine learning models that are integrated into all aspects of the customer lifecycle, such as an engine that learns from customer consumption patterns and makes recommendations. Still, the drumbeat for innovation marches on.

Data Lake 70

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 70

Domino Data Lab

OCTOBER 14, 2020

The introduction of machine learning to the agricultural domain is relatively new. To enable a digital transformation in agriculture we must experiment and learn quickly across the entire model lifecycle. Experimentation and collaboration are built into the core of the platform. Hyperparameter Tuning.

Experimentation 99

Experimentation Modeling Deep Learning Testing 99