CIO Business Intelligence

JANUARY 26, 2024

Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. If you want to grow your data scientist career and capitalize on the demand for the role, you might consider getting a graduate degree in AI.

Machine Learning 100

Machine Learning Statistics Recreation/Entertainment Data Science 100

bridgei2i

MAY 14, 2019

BRIDGEi2i is pleased to host Alex Smola – VP & Distinguished Scientist at AWS for an informative and hands-on learning session on Computer Vision GluconCV & D2L.ai Smola will be touching upon Computer Vision – an integral application of deep learning, and in particular on MXNet Glucon.

Contextual Data 63

Contextual Data Deep Learning Data Processing Consulting 63

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

CIO Business Intelligence

MAY 20, 2022

Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. If you want to grow your data scientist career and capitalize on the demand for the role, you might consider getting a graduate degree in AI. University of California–Berkeley. University of Texas–Austin.

Machine Learning 143

Machine Learning Statistics Recreation/Entertainment Data Science 143

CIO Business Intelligence

APRIL 13, 2023

Companies such as Salesforce , Amazon , The Coca-Cola Company , and Snapcha t are making bold moves to integrate generative AI into a host of capabilities. Deep learning models, for example, can have thousands or even millions of parameters. Referenceable data. You can even ask ChatGPT about this.)

Modeling 63

Modeling Deep Learning Data-driven Data Processing 63

Cloudera

SEPTEMBER 20, 2022

The state of the art in AI systems for artistic tasks almost universally use deep-learning models, which presuppose a significant amount of compute resources both to create them, and once created to continue to use them for producing images. Data — where does it come from? Access — who can use it?

Deep Learning 88

Deep Learning Cost-Benefit Risk Data-driven 88

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

CIO Business Intelligence

JANUARY 4, 2023

Cloud, sustainability, scale, and exponential data growth—these major factors that set the tone for high performance computing (HPC) in 2022 will also be key in driving innovation for 2023. As leaders in the HPC industry, we are worried about how to cool these data centers. Another big focus is on liquid cooling. [2]

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

CIO Business Intelligence

JUNE 2, 2022

HPC5’s performance level enables sophisticated in-house algorithms to process subsoil data, as well as geophysical and seismic information from around the world. Known as the most powerful supercomputer in academia, Frontera is hosted by the Texas Advanced Computing Center (TACC) at the University of Texas, Austin. HPCG [TFlop/s].

Informatics 83

Informatics Modeling Testing Technology 83

CIO Business Intelligence

MAY 16, 2022

Data-driven venues from sporting events and concerts to other live events are helping to bolster the entertainment industry while simultaneously helping to ensure a safer environment for all. . It all boils down to using data efficiently. at the edge rather than the data center ?

Recreation/Entertainment 81

Recreation/Entertainment Broadcasting Cost-Benefit Advertising 81

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. A lot to learn, but worthwhile to access the unique and special value AI can create in the product space. Machine learning adds uncertainty.

Management 339

Management Machine Learning Experimentation Metrics 339

datapine

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning.

Technology 279

Technology Internet of Things IT IoT 279

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Machine learning model interpretability. ML model interpretability and data visualization.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Two weeks ago, we announced the finalists.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Years and years of practice with R or "Big Data." 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

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. A value exchange system built on data products can drive business growth for your organization and gain competitive advantage.

Strategy 104

Strategy Cost-Benefit Data-driven Measurement 104

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. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

Smart Data Collective

MAY 17, 2021

Big data is at the heart of the digital revolution. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. Improved Fleet Management Controls.

Big Data 101

Big Data Cost-Benefit IoT Machine Learning 101

DataRobot Blog

DECEMBER 20, 2022

One might imagine that the increase in available data would lead to greater transparency and more efficient markets, but the opposite seems to be the case as increased access to massive amounts of data has made assessing real estate assets much more complex. Real Estate Data Intelligence. More is not always better.

Management 59

Management Machine Learning Optimization Modeling 59

DataRobot Blog

MARCH 7, 2023

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. This generates reliable business insights and sustains AI-driven value across the enterprise.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59