CIO Business Intelligence

AUGUST 4, 2022

That’s typically due to the exponential growth in dataset size and complexity of AI models. “In In an early phase, you might submit a job to the cloud where a training run would execute and the AI model would converge quickly,” says Tony Paikeday, senior director of AI systems at NVIDIA.

Modeling 97

Modeling Cost-Benefit ROI Data Lake 97

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

Rocket-Powered Data Science

JULY 30, 2018

Journey Sciences (using graph and linked data modeling). And check out the many excellent resources and consulting services (in Big Data Analytics, Data Science, Machine Learning, and Machine Intelligence) at Booz Allen Hamilton , to help all of your data-driven campaigns make big moves and move forward more effectively.

Machine Learning 199

Machine Learning Marketing Behavioral Analytics IoT 199

CIO Business Intelligence

SEPTEMBER 17, 2024

All this while CIOs are under increased pressure to deliver more competitive capabilities, reduce security risks, connect AI with enterprise data, and automate more workflows — all areas where architecture disciplines have a direct role in influencing outcomes.

Enterprise 145

Enterprise Digital Transformation Cost-Benefit Risk 145

Anmut

MARCH 22, 2023

Data maturity models are a crucial step for any organisation looking to improve their data, informing if your current data practices are helping, or holding back, your business. ? Click the links below to navigate to different sections What are data maturity models? Why do we need data maturity models?

Measurement 52

Measurement Modeling Data Quality Data Governance 52

IBM Big Data Hub

FEBRUARY 10, 2022

As a data scientist for IBM Consulting, I’ve been fortunate enough to work on several projects to fulfill the various needs of IBM clients. As someone who is passionate about data science, I know from firsthand that our model is only as good as the data we feed it.

Machine Learning 54

Machine Learning Modeling Data Science Consulting 54

CIO Business Intelligence

JUNE 7, 2022

Successful AI teams also include a range of people who understand the business and the problems it’s trying to solve, says Bradley Shimmin, chief analyst for AI platforms, analytics, and data management at consulting firm Omdia. Data scientist. Data scientists are the core of any AI team. Data engineer.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145

CIO Business Intelligence

MAY 15, 2024

It seems anyone can make an AI model these days. Even if you don’t have the training data or programming chops, you can take your favorite open source model, tweak it, and release it under a new name. And these models, though they lag behind the big commercial ones, are improving quickly.

Modeling 136

Modeling Risk Software Enterprise 136

CIO Business Intelligence

JANUARY 17, 2024

To do this, Ipsos uses large language models to generate cutting-edge insights built using AI capabilities, complemented by its data science models and tailored to the services it offers,” says Mohammed. js and React.js.

Digital Transformation 117

Digital Transformation Dashboards Reporting Data Science 117

CIO Business Intelligence

MARCH 26, 2024

In addition to AI and machine learning, data science, cybersecurity, and other hard-to-find skills , IT leaders are also looking for outside help to accelerate the adoption of DevOps or product-/program-based operating models. Select the right partnership model.

Recreation/Entertainment 123

Recreation/Entertainment Consulting Metrics Data Science 123

CIO Business Intelligence

JULY 24, 2024

In the long term, what we want is to have more leverage about the kinds of behaviors a model is producing.” There’s only so much you can do with a prompt if a model has been heavily trained to go against your interests,” says JJ Lopez Murphy, head of data science and AI at software development company Globant.

Risk 128

Risk Insurance Modeling Manufacturing 128

CIO Business Intelligence

SEPTEMBER 21, 2023

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. Today’s foundational models are jacks-of-all-trades. This is where large language models get me really excited.

Enterprise 128

Enterprise Consulting Modeling Cost-Benefit 128

Cloudera

OCTOBER 11, 2022

I recommend you read the entire piece, but to me the key takeaway – AI at scale isn’t magic, it’s data – is reminiscent of the 1992 presidential election, when political consultant James Carville succinctly summarized the key to winning – “it’s the economy”. Al needs machine learning (ML), ML needs data science.

Snapshot 97

Snapshot Data Science Data Warehouse Metadata 97

IBM Big Data Hub

NOVEMBER 29, 2023

They combined forces with the experts at IBM to reach toward the expanding horizons of data science. ” No-code and low-code solutions for time series data exploration IBM introduced Downer to the realm where no-code and low-code solutions could build predictive models to provide faster insights.

Predictive Modeling 63

Predictive Modeling Data-driven Data Science Forecasting 63

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Domino Data Lab

JANUARY 11, 2021

Arming data science teams with the access and capabilities needed to establish a two-way flow of information is one critical challenge many organizations face when it comes to unlocking value from their modeling efforts. Domino Data Lab and Snowflake: Better Together. Writing data from Domino into Snowflake.

Recreation/Entertainment 103

Recreation/Entertainment Data Science Data Warehouse Publishing 103

IBM Big Data Hub

SEPTEMBER 27, 2022

AI model governance introduces technology to implement guardrails at each stage of the AI/ML lifecycle. This includes data collection, instrumenting processes and transparent reporting to make needed information available for all the stakeholders. They needed both an organizational AI governance and AI model governance solution.

Consulting 52

Consulting Machine Learning Modeling Strategy 52

CIO Business Intelligence

JANUARY 31, 2024

Everything from geothermal data centers to more efficient graphic processing units (GPUs) can help. But AI users must also get over the urge to use the biggest, baddest AI models to solve every problem if they truly want to fight climate change. Is it necessary for a model that can also write a sonnet to write code for us?”

Cost-Benefit 134

Cost-Benefit Modeling Testing IoT 134

IBM Big Data Hub

DECEMBER 20, 2023

This calls for the organization to also make important decisions regarding data, talent and technology: A well-crafted strategy will provide a clear plan for managing, analyzing and leveraging data for AI initiatives. Algorithms: Algorithms are the rules or instructions that enable machines to learn, analyze data and make decisions.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

CIO Business Intelligence

MAY 17, 2024

So it’s just this really complicated complex job market,” says hiring and consulting expert Ryan Sutton, executive director of the technology practice at Robert Half Technology. According to data from Dice, 14% of all tech postings in February 2024 referenced AI- or ML-related skill sets, up from 9% in January 2023.

IT 135

IT Insurance Reporting Manufacturing 135

CIO Business Intelligence

APRIL 5, 2023

David Linthicum, chief cloud strategy officer at Deloitte Consulting and a contributor to InfoWorld, will delve into strategies that deliver real business value – a mandate that every IT leader is facing now. CIO Sarah Betadam led a three-year journey to becoming a fully functional data-driven enterprise. Another top trend is AI.

Strategy 98

Strategy Data Strategy Digital Transformation Data-driven 98

O'Reilly on Data

SEPTEMBER 15, 2021

There was a lot of uncertainty about stability, particularly at smaller companies: Would the company’s business model continue to be effective? To nobody’s surprise, our survey showed that data science and AI professionals are mostly male. Would your job still be there in a year? Salaries by Gender. Think about it.”

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

CIO Business Intelligence

JUNE 12, 2024

The Foundry study found that the most sought-after skill sets are cybersecurity (42%), AI and machine learning (39%), and data science and analytics (32%). Look for individuals who ask insightful questions during interviews or who have taken the initiative to earn in-demand certifications.

Machine Learning 57

Machine Learning Risk Management Consulting Strategy 57

Domino Data Lab

MARCH 5, 2021

In this new series, we will be speaking with leaders in the machine learning and data science field about how they got their start in data science and ask them a series of questions around what they think the key enablers of success has been in driving successful adoption of models in the organizations they work for.

Insurance 64

Insurance Machine Learning Data Science Consulting 64

CIO Business Intelligence

AUGUST 24, 2023

Many enterprises are deploying AI in lower-risk use cases first, says Kjell Carlsson, head of data science strategy and evangelism at Domino Data Lab. Companies in general are still having problems with data governance.” And with large language models (LLM), data governance is in its infancy.

Uncertainty 98

Uncertainty Risk Testing Enterprise 98

Domino Data Lab

MAY 1, 2019

This Domino Data Science Field Note provides highlights and excerpted slides from Chloe Mawer ’s “ The Ingredients of a Reproducible Machine Learning Model ” talk at a recent WiMLDS meetup. Mawer is a Principal Data Scientist at Lineage Logistics as well as an Adjunct Lecturer at Northwestern University.

Machine Learning 81

Machine Learning Testing Data Science Modeling 81

CIO Business Intelligence

JULY 18, 2023

The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill. The net result? S&P Global, for example, is entering its AI 2.0

IT 98

IT Data Science IoT Machine Learning 98

CIO Business Intelligence

MAY 6, 2022

Nearly two-thirds of manufacturers globally already use cloud solutions, according to consulting firm McKinsey, and marketing intelligence company ReportLinker reports that the global smart factory market — consisting of companies using technology such as IoT — is expected to reach $214.2 billion by 2026.

Manufacturing 140

Manufacturing Analytics Machine Learning IoT 140

Domino Data Lab

JULY 19, 2021

One of the primary challenges of any ML/AI project is transitioning it from the hands of data scientists in the develop phase of the data science lifecycle into the hands of engineers in the deploy phase. Where in the life cycle does data scientists’ involvement end? They may rely on, or be assisted by, the data analysts.

Enterprise 85

Enterprise Data Science Testing Modeling 85

DataRobot

NOVEMBER 1, 2021

Practitioners in the AI space are focused on the speed and accuracy of model predictions. But the end game for the applicability of models is not in the predictions, but the decisions they enable, and predictive models alone don’t ensure better decisions. What Is Decision Intelligence? and the return of Dan Becker to DataRobot.

Machine Learning 98

Machine Learning Manufacturing Predictive Modeling Optimization 98

datapine

MARCH 31, 2022

Getting an entry-level position at a consulting firm is also a great idea – the big ones include IBM, Accenture, Deloitte, KPMG, and Ernst and Young. Another excellent approach is to gain experience directly in the office of a BI provider, working as a data scientist or a data visualization intern , for instance.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

AUGUST 9, 2022

In business, data science and artificial intelligence are usually geared towards powerful efficiencies and growth. Data science and AI teams focus constantly on methodology and accuracy. User trust is often overlooked. This has become a particular difficulty in a crucial area of AI: decision support.

Data Science 104

Data Science Forecasting Consulting Machine Learning 104

Smarten

MAY 31, 2022

When combined with Citizen Data Scientist initiatives, the adoption and use of predictive modeling and forecasting techniques can be a boon to any enterprise. Team members who have access to augmented analytics and assisted predictive modeling can plan better, predict more accurately and dependably meet goals and objectives.

Predictive Analytics 69

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 69

CIO Business Intelligence

OCTOBER 24, 2023

As CIOs prepare for the next wave of digital transformation, they must demonstrate shorter-term business impacts from technology investments and achieve larger innovation goals that evolve the organization’s business model. Still, certain issues surface time and time again to trouble business outcomes regardless of the strategic objectives.

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

CIO Business Intelligence

DECEMBER 12, 2023

The auto maker, too, was moving away from oil, having announced plans not long before to make the Jaguar range all-electric by 2025, and to offer electric versions of all its other models by the end of the decade. But we’ll do it in a measured way.”

Digital Transformation 126

Digital Transformation Manufacturing Consulting Software 126

CIO Business Intelligence

APRIL 22, 2022

Attracting and retaining the right talent while getting a return on technology investment are the top three challenges that stop organizations from being able to successfully digitize their supply chain operations, according to a survey by management consulting firm PwC. Cloud, no-code can help supply chain digitization.

Data-driven 97

Data-driven Consulting Enterprise Data Science 97

FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting.

Statistics 52

Statistics Data mining Visualization Reporting 52