Domino Data Lab

AUGUST 6, 2021

In the world of machine learning (ML) and artificial intelligence (AI), governance is a lifelong pursuit. All models require testing and auditing throughout their deployment and, because models are continually learning, there is always an element of risk that they will drift from their original standards.

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IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

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Domino Data Lab

JANUARY 26, 2023

The Domino University partner accreditation programs are tailored to enable both implementation and consulting as well as solutions partners to learn the ins and outs of our platform - either as a data scientist, team leader, platform owner. Why get accredited?

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Dataiku

JULY 15, 2021

This blog was written by our friends at STATWORX , a consulting and development company for data science, machine learning, and AI based in Frankfurt and Zurich.

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Cloudera

APRIL 23, 2024

The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today.

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Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

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Domino Data Lab

AUGUST 6, 2021

Data science is an incredibly complex field. When you factor in the requirements of a business-critical machine learning model in a working enterprise environment, the old cat-herding meme won’t even get a smile. Let’s use an example business problem to illustrate the four steps of the data science lifecycle.

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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.

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CIO Business Intelligence

JUNE 12, 2024

CIOs believe that the top three tech initiatives driving these increased IT investments will be security and risk management (45%), artificial intelligence (AI) and machine learning (44%), and business process and IT automation (44%).

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Machine Learning Risk Management Consulting Strategy 52

bridgei2i

NOVEMBER 18, 2020

BRIDGEi2i Analytics Solutions announced today that it had been recognized in the list top 10 data science companies in India to work for 2020 by Analytics Insights magazine. Analytics Insight is a publication focused on Artificial Intelligence, Big Data and Analytics. About BRIDGE i2i. www.BRIDGEi2i.com. Venkat Subramanian.

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Data Science Contextual Data Deep Learning Big Data 52

O'Reilly on Data

SEPTEMBER 15, 2021

It isn’t surprising that employees see training as a route to promotion—especially as companies that want to hire in fields like data science, machine learning, and AI contend with a shortage of qualified employees. To nobody’s surprise, our survey showed that data science and AI professionals are mostly male.

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Machine Learning Statistics Reporting Consulting 363

Dataiku

NOVEMBER 25, 2020

billion in 2022, according to Boston Consulting Group. These are massive numbers and, while true that research and discovery are a key part of the life sciences and pharmaceuticals value chain, data science, machine learning, and AI can play a valuable role across its entirety.

Marketing 105

Marketing Consulting Machine Learning Data Science 105

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.

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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 scientists are the core of any AI team. Data steward. ML engineer.

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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.

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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. Technological base Ipsos considers digital transformation a strategic priority for its continued growth and competitiveness. “We

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DataRobot

NOVEMBER 1, 2021

A manufacturer can use machine learning to predict mechanical failures so they can replace parts before the failure interrupts production. At one point, the machine learning model might say a part is 10 percent likely to fail in the next hour. What Is Decision Intelligence? How disruptive would it be?

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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. Establish a data governance framework to manage data effectively.

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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.

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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?

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IT Data Science IoT Digital Transformation 98

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. Seek cultural affinity and ethical alignment.

Recreation/Entertainment 124

Recreation/Entertainment Consulting Metrics Enterprise 124

CIO Business Intelligence

DECEMBER 12, 2023

Battle has some external support when it comes to evaluating the potential for generative AI, because JLR is part of Tata Group, which also owns Tata Consultancy Services. “But we’ll do it in a measured way.” The document processing system JLR built on Appian has around 150 daily users handling about 250 customs declarations a day.

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Digital Transformation Manufacturing Consulting Software 128

bridgei2i

NOVEMBER 18, 2021

The acquisition, announced last month, strengthens Accenture’s global capabilities in data science, machine learning and AI-powered insights, and adds more than 800 deeply skilled professionals to Accenture’s Applied Intelligence practice. The financial terms of the transaction were not disclosed. READ THE PRESS RELEASE.

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CIO Business Intelligence

NOVEMBER 22, 2022

Real-time data gets real — as does the complexity of dealing with it CIOs should prioritize their investment strategy to cope with the growing volume of complex, real-time data that’s pouring into the enterprise, advises Lan Guan, global data and AI lead at business consulting firm Accenture.

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IBM Big Data Hub

SEPTEMBER 27, 2022

Recently an American multinational financial institution came to IBM with several challenges, including deploying machine learning models in the hundreds that were built using multiple data science stacks comprised of open source and third-party tools. Scaling trustworthy AI.

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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.

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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.

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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. Artificial Intelligence, Machine Learning User trust is often overlooked.

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Data Science Forecasting Consulting Marketing 105

CIO Business Intelligence

SEPTEMBER 8, 2023

And, in late 2021, J&J introduced AI knee and hip implant machine-learning driven predictions specifically for TKA and THA implant sizing and patient surgical needs — a project that earned the company a 2023 CIO 100 Award for IT innovation and leadership.

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CIO Business Intelligence

NOVEMBER 14, 2022

With organizations increasingly focused on data-driven decision making, decision science (or decision intelligence) is on the rise, and decision scientists may be the key to unlocking the potential of decision science systems. XLSTAT is an Excel data analysis add-on geared for corporate users and researchers.

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CIO Business Intelligence

MAY 17, 2022

In particular, the company has low confidence in its ability to address fundamental problems with machine learning and AI applications, according to the document. This particular hospital’s data science team had built a system to identify such comorbidities. We have very low confidence that our solutions are sufficient.”.

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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.

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Smarten

OCTOBER 13, 2022

Listen to the Experts: Citizen Data Scientist Results are Real! Gartner has predicted that, ‘a scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations.’

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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.

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IBM Big Data Hub

OCTOBER 16, 2023

By looking critically at these examples, and at successes in overcoming bias, data scientists can begin to build a roadmap for identifying and preventing bias in their machine learning models. At IBM Consulting, we have been helping clients set up an evaluation process for bias and other areas.

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CIO Business Intelligence

OCTOBER 24, 2023

Business drivers for the first wave of digital transformation through 2020 targeted growth, data capabilities, cloud migration, and delivering competitive technology capabilities. These leaders often come from IT backgrounds, such as product management, program management, application development, data science, and IT operations.

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Smarten

MAY 31, 2022

Assisted Predictive Modeling with Augmented Data Science and Machine Learning allows business users without data science or analytical skills to apply predictive analytics to any use case using forecasting, regression, clustering and other techniques with auto-recommendations and guidance to suggest appropriate analytical techniques.

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