CIO Business Intelligence

APRIL 11, 2022

On top of a double-digit population growth rate over the past decade, the city hosts more than 40 million visitors in a typical year. By leveraging artificial intelligence and machine learning technologies, the smart city solution also learns to identify normal patterns of activity occurring in public places.

IoT 145

IoT Measurement Cost-Benefit Deep Learning 145

Smart Data Collective

FEBRUARY 20, 2022

Its cost-effective service solutions ensure that you can optimize costs, organize data, and provide access controls to meet your business, organizational, and regulatory needs. AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms. Management of data. Easy to use.

Cost-Benefit 116

Cost-Benefit Data Lake Software Machine Learning 116

CIO Business Intelligence

JANUARY 4, 2023

Recently members of our community came together for a roundtable discussion, hosted by Dell Technologies, about trends, trials, and all the excitement around what’s next. Advances in Artificial Intelligence and Machine Learning (AI/ML): AI/ML will continue growing as an important workload in HPC.

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

IBM Big Data Hub

APRIL 18, 2024

According to Andreessen Horowitz (link resides outside IBM.com ) , in 2023, the average spend on foundation model application programming interfaces (APIs), self-hosting and fine-tuning models across surveyed companies reached USD 7 million. AGI wouldn’t just perceive its surroundings; it would understand them.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

Smart Data Collective

MARCH 22, 2019

Marketers have utilized deep learning technology to get a better understanding of their customers, so they can refine their creative and targeting strategies. Here are some ways that new predictive analytics and machine learning solutions are solving this dilemma. Deep learning technology can make this happen.

Big Data 45

Big Data Deep Learning Machine Learning Marketing 45

CIO Business Intelligence

MAY 16, 2022

The data gathered from cameras and sensors as part of a computer vision system, along with machine learning, make it easier to find missing persons and to identify people who are not allowed to be in a venue. Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality?

Recreation/Entertainment 78

Recreation/Entertainment Broadcasting Cost-Benefit Advertising 78

bridgei2i

APRIL 16, 2021

So welcome to our podcast series Beyond Theory with AI Labs, and I’m your host, Divyansh. He has over a decade of experience in the field of AI, which he started with his paper on machine learning in 2009. because, unlike traditional coding, the system automatically learns to solve a problem by using huge amounts of data.

Deep Learning 98

Deep Learning Machine Learning Digital Transformation Software 98

Cloudera

SEPTEMBER 12, 2018

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: . It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. Societal Impact: .

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. . Collaboration and Sharing.

Testing 300

Testing Machine Learning Consulting Data Quality 300

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. This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency.

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

Domino Data Lab

JULY 2, 2019

SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. Doesn’t this seem like a worthy goal for machine learning—to make the machines learn to work more effectively? Software writes Software?

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Domino Data Lab

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

IBM Big Data Hub

NOVEMBER 14, 2023

Internal data monetization initiatives measure improvement in process design, task guidance and optimization of data used in the organization’s product or service offerings. IBM watsonx.data offers connectivity flexibility and hosting of data product lakehouses built on Red Hat OpenShift for an open hybrid cloud deployment.

Strategy 104

Strategy Cost-Benefit Data-driven Measurement 104

Smart Data Collective

MAY 17, 2021

Big data solutions are often created and supported using various technologies from IIoT to machine learning and AI. All that performance data can be fed into a machine learning tool specifically designed to identify certain events, failures or obstacles. It also introduces operational efficiencies.

Big Data 101

Big Data Cost-Benefit IoT Machine Learning 101

DataRobot Blog

DECEMBER 20, 2022

In this context, an augmented intelligence approach around the data will be increasingly more critical for asset managers, investors, and real estate developers to ensure a better understanding of the real estate assets and take better decisions aimed at optimizing both the Net Asset Value and the Net Operating Income.

Management 59

Management Machine Learning Optimization Modeling 59

Domino Data Lab

MARCH 29, 2021

The addition of the MLlib library, consisting of common learning algorithms and utilities, opened up Spark for a wide range of machine learning tasks and paved the way for running complex machine learning workflows on top of Apache Spark clusters.

Cost-Benefit 98

Cost-Benefit Machine Learning Testing Interactive 98

BizAcuity

JUNE 16, 2022

It is hosted by public cloud providers such as AWS or Azure and are the most popular of the lot. Under this model, the strategy is to make use of both private (for highly confidential data) and public cloud infrastructure for cost and performance optimization. So as to cut latency and optimize the cloud storage system.

Data-driven 52

Data-driven IoT Data Processing Optimization 52

datapine

NOVEMBER 19, 2019

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI.

Technology 279

Technology Internet of Things IT IoT 279

Domino Data Lab

JANUARY 14, 2019

The notebook is hosted on Domino’s trial site. As explained in Part 1 , the nearest neighbor model does not have an optimized SHAP explainer so we must use the kernel explainer, SHAP’s catch-all that works on any type of model. We do this with side-by-side code comparisons of SHAP and LIME for four common Python models.

Testing 89

Testing Modeling Deep Learning Data Science 89

Domino Data Lab

JULY 9, 2019

Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. I still believe that data science is the craft of trying to apply machine learning to some real world problem.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

O'Reilly on Data

JANUARY 25, 2021

We’re not pretending the frameworks themselves are comparable—Spring is primarily for backend and middleware development (though it includes a web framework); React and Angular are for frontend development; and scikit-learn and PyTorch are machine learning libraries. AI, Machine Learning, and Data.

Machine Learning 363

Machine Learning Software Testing Technology 363

Occam's Razor

OCTOBER 12, 2017

Optimal Starting SCOTUS Starting Points. Some cases are very dear to me, I truly love them, there is a lot to learn from them as you explore the back and forth of the debate, the majority opinion and the dissenting one (or ones). The Future of Life Institute hosted a conference in Asilomar in Jan 2017 with just such a purpose.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

Domino Data Lab

SEPTEMBER 9, 2019

Data science teams in industry must work with lots of text, one of the top four categories of data used in machine learning. We can compare open source licenses hosted on the Open Source Initiative site: In [11]: lic = {} ?lic["mit"] Usually it’s human-generated text, but not always. return "n" join(buf)?.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110