CIO Business Intelligence

JUNE 16, 2022

Cloud-first applications support a manageable OpEx cost model, metered like a utility, as opposed to requiring significant upfront capital investments in infrastructure and software licenses. That’s illustrated by the ability of cloud-first businesses to pivot to a remote work-from-home model with unprecedented speed and scale.”.

Strategy 138

Strategy Enterprise Digital Transformation Data Processing 138

Smart Data Collective

APRIL 2, 2019

Cloud technology has had a profound impact on the web hosting profession. Since big data has revolutionized the web hosting industry, a myriad of new hosting options are available. Big data is streamling hosting services, enhancing the user experience and improving customer support. Be Aware of Pricing Tricks.

Data Processing 96

Data Processing Big Data Marketing Data-driven 96

CIO Business Intelligence

MAY 14, 2024

Private cloud providers may be among the key beneficiaries of today’s generative AI gold rush as, once seemingly passé in favor of public cloud, CIOs are giving private clouds — either on-premises or hosted by a partner — a second look. You don’t want a mistake to happen and have it end up ingested or part of someone else’s model.

IT 143

IT Data Processing Enterprise Modeling 143

CIO Business Intelligence

NOVEMBER 16, 2023

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. But there’s a problem with it — you can never be sure if the information you upload won’t be used to train the next generation of the model. It’s not trivial,” she says.

Modeling 139

Modeling Enterprise Marketing Sales 139

CIO Business Intelligence

MAY 12, 2023

Hannah’s IT division collaborates with and serves the needs of its “sister” business units where it makes sense, such as hosting financial applications for some business units. Since going live with that AI modeling capability, we’ve seen about a 30% increase in internal applications driven directly from the Career Hub,” he says.

Strategy 98

Strategy IT Digital Transformation Finance 98

O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

CIO Business Intelligence

SEPTEMBER 2, 2022

At the centre of these changes are disruptive technologies like artificial intelligence, cloud computing, and machine learning, which are paving the way for new business models. Carbon neutral and net-zero commitments are more than just “nice-to-have” now; they are a business imperative that is driving banks to rethink their operations.

Strategy 98

Strategy Digital Transformation Data Processing Risk 98

CIO Business Intelligence

AUGUST 28, 2022

At the centre of these changes are disruptive technologies like artificial intelligence, cloud computing, and machine learning, which are paving the way for new business models. Carbon neutral and net-zero commitments are more than just “nice-to-have” now; they are a business imperative that is driving banks to rethink their operations.

Strategy 98

Strategy Digital Transformation Data Processing Risk 98

DataRobot Blog

JUNE 27, 2022

In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Monitoring Model Metrics.

Risk 59

Risk Modeling Metrics Measurement 59

CIO Business Intelligence

JANUARY 23, 2023

The tech industry has long been known for its lack of diversity and, as a result, there’s been a big push for companies to take DEI strategies seriously. Through internship programs, apprenticeships, returnships, and other unique talent and upskilling programs, these examples can help inspire the right DEI strategy for your organization.

Strategy 98

Strategy IT Reporting Data Processing 98

IBM Big Data Hub

JANUARY 24, 2024

With a data center consolidation, organizations generally start by consolidating onto fewer hosts, and then consolidate to fewer data centers. Once you’ve consolidated onto fewer hosts, you might want to move to fewer data centers, and potentially reduce your licensing costs. Figure 2: Turbonomic virtual machine rightsizing 3.

Strategy 62

Strategy Data Processing Optimization Software 62

CIO Business Intelligence

JUNE 3, 2024

But the sheer quantity of infrastructure needed to process genAI’s large language models (LLMs), along with power and cooling requirements, is fast becoming unsustainable. More resource-intensive training is handled on a cluster hosted on Google Cloud Platform. billion in 2022 to $57 billion in 2027. It’s like a space heater.

Data Processing 99

Data Processing Data-driven Modeling Strategy 99

CIO Business Intelligence

APRIL 11, 2024

Oracle Cloud Infrastructure is now capable of hosting a full range of traditional and modern IT workloads, and for many enterprise customers, Oracle is a proven vendor,” says David Wright, vice president of research for cloud infrastructure strategies at research firm Gartner.

Enterprise 124

Enterprise IT Data Processing Strategy 124

AWS Big Data

JULY 14, 2023

The better organized the catalog is, the higher the potential for reuse and the return on investment for the services transformation strategy. The model should be able to showcase to LOBs their categories and capabilities. It is causing a ripple effect across IT organizations and shifting the way IT delivers applications and services.

Modeling 73

Modeling Visualization Reporting Measurement 73

CIO Business Intelligence

NOVEMBER 16, 2022

The company employs 69,000 around the world as well and Danielle Brown, the company’s SVP and CIO, has a unique perspective on how best to lead the company’s digital transformation strategy. On the enterprise data strategy: I am a self-admitted data geek. Here are some edited excerpts of that conversation.

IT 133

IT Modeling Digital Transformation Data Governance 133

CIO Business Intelligence

FEBRUARY 12, 2024

A host of new product and feature launches, questions about SAP’s plans for managing commitments to legacy platform customers, and the acceleration of generative AI in popular products such as SAP RISE are just a few of the major issues enterprise SAP customers will need to keep on top of in the year ahead.

Consulting 118

Consulting Cost-Benefit Strategy Modeling 118

DataRobot Blog

MAY 26, 2022

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

Risk 52

Risk Modeling Metrics Business Objectives 52

Cloudera

OCTOBER 20, 2021

Transition : the changes in asset values, business models, etc. (ex. Quantifying and evaluating climate risk will require risk and finance teams to model behavior related to these risks and evolve new metrics. Mandated disclosures will create additional pressure on the accuracy and confidence of such models. .

Risk 82

Risk Modeling Risk Management Measurement 82

DataRobot Blog

FEBRUARY 28, 2023

While this can be an excellent strategy for a future-oriented company, it can prove futile if you don’t maximize the value of your investment. According to Flexera 1 , 92% of enterprises have a multi-cloud strategy, while 80% have a hybrid cloud strategy.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

BizAcuity

APRIL 25, 2022

Casinos would do well to think through their marketing strategies, to support growth, differentiate themselves from competitors, and strengthen their relationship with patrons and members. Casino Marketing strategy is digital. To start with, a fundamental digital casino marketing strategy encompasses: Website and Mobile.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

CIO Business Intelligence

DECEMBER 6, 2023

British multinational packaging giant DS Smith has committed itself to ambitious sustainability goals, and its IT strategy to standardize on a single cloud will be a key enabler. The single-cloud platform strategy will include SaaS partners used for automation of more than 40 enterprise applications, Dickson says.

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

CIO Business Intelligence

SEPTEMBER 8, 2023

The easy things: A clear understanding of AI terminology and risks There’s a host of things that can be established with relative ease early in an organization’s AI journey. What is this model good at and what should be the boundaries on how and where it’s applied? Understanding limitations helps to prevent misuse down the line.

Risk 126

Risk Strategy Modeling Data Processing 126

Jen Stirrup

JANUARY 25, 2024

Well, to build a better future for our planet, we need sustainable, cost-sensitive energy models that offer energy security. Strategy helps to set direction, and it can be hard to know where to start. Climate and environmental considerations are very close to my heart. Why is India Energy Week important?

Data Processing 71

Data Processing Strategy Measurement Modeling 71

DataRobot

JULY 27, 2021

In a global marketplace where decision-making needs to happen with increasing velocity, data science teams often need not only to speed up their modeling deployment but also do it at scale across their entire enterprise. This allows for the pipelining of incredibly complex inference models.

Optimization 98

Optimization Modeling Machine Learning Deep Learning 98

CIO Business Intelligence

JUNE 19, 2023

But to thrive in the “intelligence era”, Mr. Cao said financial institutions need to reconsider their entire digital strategy, encompassing their approach to connections, data, applications, and infrastructure, in order to strengthen their core competitiveness. This model treats entire data centres as computers. “We

Finance 98

Finance Unstructured Data Data Processing Data Architecture 98

CIO Business Intelligence

JUNE 15, 2023

But to thrive in the “intelligence era”, Mr Cao said financial institutions need to reconsider their entire digital strategy, encompassing their approach to connections, data, applications, and infrastructure, in order to strengthen their core competitiveness. This model treats entire data centres as computers. “We

Unstructured Data 98

Unstructured Data Finance Data Processing Data Architecture 98

CIO Business Intelligence

APRIL 29, 2024

GitHub Copilot is still using a much smaller model,” Patel said. The demand for AI is so large that there simply isn’t enough capacity to put large language models (LLMs) into every application that enterprises want to. AWS and Google both have capacity issues as well. Microsoft is not unique,” said Semianalysis’ Patel.

Enterprise 105

Enterprise Data Processing Forecasting Modeling 105

CIO Business Intelligence

NOVEMBER 21, 2023

Still, there is a steep divide between rogue and shadow IT, which came under discussion at a recent Coffee with Digital Trailblazers event I hosted. That’s where an IT strategy that frames shadow IT as an opportunity for improved collaboration can have a profound impact.

IT 137

IT Risk Cost-Benefit Risk Management 137

CIO Business Intelligence

MARCH 18, 2024

The CIO has strategies in place to address all three. We are proceeding cautiously because the rise of LLMs [large language models] presents a new level of data security risk,” he says. “We We have been developing our own internal AI capability over the last few years using open-source models. Nafde agrees.

Risk 133

Risk Cost-Benefit Data Processing Testing 133

CIO Business Intelligence

JUNE 25, 2023

By Bryan Kirschner, Vice President, Strategy at DataStax Bill Gates has seen (or, for that matter, caused) some profound advances in technology, so I don’t take a contrarian position lightly, but I think the way he describes his epiphany about the importance of AI is only half right. But it can do much more.

Finance 115

Finance Uncertainty Strategy Modeling 115

CIO Business Intelligence

APRIL 9, 2024

Previously head of cybersecurity at Ingersoll-Rand, Melby started developing neural networks and machine learning models more than a decade ago. Vladimir Tsoy, business applications supervisor at Dairyland, says Melby’s strategy and “progressive stance on technology” has been a “game changer” for the power company.

Digital Transformation 105

Digital Transformation Machine Learning Data Lake Software 105

IBM Big Data Hub

APRIL 3, 2024

The suite’s simplified licensing model also offers greater adaptability, which enables users to scale their usage according to requirements. Figure 1: TAS on customer-hosted Red Hat OpenShift high-level architecture 2. Figure 2: TAS on customer-hosted ROSA high-level architecture 3.

Data Processing 65

Data Processing Cost-Benefit Optimization Management 65

Smart Data Collective

FEBRUARY 4, 2021

A growing number of companies are using data-driven marketing strategies to reach a larger customer base. While much is still uncertain, businesses, especially those hardest hit by the effects of Covid-19, will need to re-focus and adapt their marketing strategies to the post-Covid era. Create exciting offers and deals.

Data-driven 67

Data-driven Marketing Strategy Big Data 67

CIO Business Intelligence

FEBRUARY 13, 2024

Developing GenAI implementation strategies will be imperative for technology leaders, and they must focus on prioritizing key areas such as business model building, internal operational improvements, risk mitigation, and overall organizational efficiency.

Data Processing 98

Data Processing Forecasting Risk Optimization 98

CIO Business Intelligence

APRIL 28, 2023

Continuing with current cloud adoption plans is a risky strategy because the challenges of managing and securing sensitive data are growing. As it becomes a dominant IT operating model, critical data is finding its way into the cloud. Businesses cannot afford to maintain this status quo amid rising sovereignty concerns.

Uncertainty 98

Uncertainty Business Driver Data Processing Data-driven 98

Alation

JULY 13, 2021

Yet increasing complexity of data makes the old “lift-and-shift” model not just unrealistic, but risky. We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. The race to the cloud is on!

Strategy 52

Strategy Data mining Structured Data Data Governance 52

CIO Business Intelligence

DECEMBER 21, 2023

An AI solution that excels in scalability ensures that it can effortlessly expand to meet the global organization’s requirements, maintaining pace with the surge in data traffic and morphing attack strategies across diverse regions. 300% more early detection for malicious hosts. 90% accuracy for the new Command & Control activity.

Data-driven 105

Data-driven Risk Enterprise Cost-Benefit 105