Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. Machine Learning in the Age of Big Data. Sean Anderson provides a tutorial on machine learning. Stayed tuned to the Cloudera Foundation throughout 2018 for more exciting news. This blog has everything!

Machine Learning 45

Machine Learning IoT Big Data Insurance 45

Insight

FEBRUARY 27, 2019

New York is in the midst of an explosive period of growth in artificial intelligence and machine learning. However, when it comes to the concentration of artificial intelligence and machine learning jobs in the market, it looks like NYC even has San Francisco beat. Feel free to get in touch. An astonishing 11.6%

Machine Learning 64

Machine Learning Manufacturing Finance IoT 64

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. — Mike Barlow, author of “Learning to Love Data Science” (O’Reilly Media). Enterprise Machine Learning: . Technical Impact.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

CIO Business Intelligence

MARCH 22, 2022

Jai Menon has joined Skylo, a narrow-band satellite communications provider that targets IoT applications, as CIO. He will be based in Gurugram, reporting to CEO Pratik Pota, and will have responsibility for all the digital transformation initiatives at Jubilant FoodWorks. Satellite comms provider Skylo hires Jai Menon as CIO.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

Smart Data Collective

APRIL 2, 2019

Machine learning is having a major impact on countless industries across the globe. According to an analysis by CB Insights, machine learning and AI are having a large impact on this industry in many ways. Machine Learning is Driving the Evolution of the Energy Industry. Machine Learning Leads to Visibility.

Machine Learning 84

Machine Learning Internet of Things Digital Transformation IoT 84

datapine

NOVEMBER 19, 2019

Internal comms: Computer vision technology can serve to improve internal communication by empowering employees to perform their tasks more visually, sharing image-based information that is often more digestible and engaging than text-based reports or information alone. Artificial Intelligence (AI). Connected Retail.

Technology 279

Technology Internet of Things IT IoT 279

DataRobot Blog

APRIL 1, 2018

Although some product solutions disrupted the operational reporting market, they require users to know the questions they need to ask their data. Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. We agree with that.

Analytics 40

Analytics IoT Internet of Things B2B 40

IBM Big Data Hub

MARCH 4, 2024

In the four years since it burst onto the market, 5G has been widely touted as a disruptive technology, capable of transformation on a similar scale to artificial intelligence (AI) , the Internet of Things (IoT) and machine learning (ML).

IoT 104

IoT Internet of Things Technology Enterprise 104

Cloudera

OCTOBER 3, 2018

Machine learning brings new challenges, but also transformative power, to our customers. We are both convinced that a scale-out, shared-nothing architecture — the foundation of Hadoop — is essential for IoT, data warehousing and ML. We have each innovated separately in those areas. Their current workloads are safe.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

Cloudera

NOVEMBER 9, 2018

IoT opens doors to threats. Frost & Sullivan estimates that Asia Pacific will spend US$59 billion on the Internet of Things (IoT) by 2020, up from the US$10.4 The rise of IoT malware. Realizing IoT devices’ weakness, cybercriminals have been developing more malware designed specifically to exploit those devices.

IoT 56

IoT Machine Learning Internet of Things Data Collection 56

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. 40; it peaked at Strata NY 2018 at No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Cloudera

NOVEMBER 14, 2018

We’re excited to release Federated Learning , the latest report and prototype from Cloudera Fast Forward Labs. Federated learning makes it possible to build machine learning systems without direct access to training data. This article is about the business case for federated learning. Smartphones.

Manufacturing 41

Manufacturing Machine Learning IoT Modeling 41

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. We had big surprises at several turns and have subsequently published a series of reports. We had big surprises at several turns and have subsequently published a series of reports. Introduction.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Alation

FEBRUARY 20, 2020

. ; there has to be a business context, and the increasing realization of this context explains the rise of information stewardship applications.” – May 2018 Gartner Market Guide for Information Stewardship Applications. The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data.

Data Governance 52

Data Governance Data Lake Dashboards Big Data 52

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process. 3) Artificial Intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

IBM Big Data Hub

FEBRUARY 9, 2024

Prior to the current hype cycle, generative machine learning tools like the “Smart Compose” feature rolled out by Google in 2018 weren’t heralded as a paradigm shift, despite being harbingers of today’s text generating services.

Cost-Benefit 105

Cost-Benefit Modeling Data-driven Enterprise 105