IBM Big Data Hub

MARCH 8, 2024

As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially. Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer.

IoT 100

IoT Broadcasting Internet of Things Technology 100

datapine

NOVEMBER 19, 2019

This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience. Thus, deep nets can crunch unstructured data that was previously not available for unsupervised analysis. AI is undoubtedly one of the most prominent 2020 buzzwords to look out for.

Technology 279

Technology Internet of Things IT IoT 279

Cloudera

DECEMBER 19, 2018

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. Big Data Technologies and Architectures. In 2015, only 17% of organizations surveyed had big data implementations.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

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. There’s more data coming, and there are plenty of impossible things to work on. Machine Learning in the Age of Big Data. From its origins in the 1950’s to today, the age of big data.

Machine Learning 45

Machine Learning IoT Big Data Insurance 45

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 96

IoT Internet of Things Technology Enterprise 96

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

IBM Big Data Hub

FEBRUARY 9, 2024

2023 saw an explosion of increasingly efficient foundation models with open licenses, beginning with the launch of Meta’s LlaMa family of large language models (LLMs) and followed by the likes of StableLM, Falcon, Mistral, and Llama 2. DeepFloyd and Stable Diffusion have achieved relative parity with leading proprietary models.

Cost-Benefit 97

Cost-Benefit Modeling Data-driven Enterprise 97

BizAcuity

MAY 10, 2022

Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. 2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. Google announces Cloud IoT. billion by 2025.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. How can we make it happen?

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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. The term “ML” is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Cloudera

SEPTEMBER 12, 2018

. — Mike Barlow, author of “Learning to Love Data Science” (O’Reilly Media). And now, without further delay, we are excited to announce the winners of the 2018 Data Impact Awards, listed by award theme and category: Business Impact. Two weeks ago, we announced the finalists. Technical Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Domino Data Lab

MARCH 3, 2019

Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). What’s been the impact of using ML models on culture and organization?

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49