O'Reilly on Data

JULY 18, 2019

Chen has also served as co-chair of O'Reilly's Artificial Intelligence Conference since its inception in 2016. Current-generation AI and machine learning technologies rely on large amounts of data, and to the extent they can use their large user bases to create “data silos,” large companies in large countries (like the U.S.

Machine Learning 124

Machine Learning Technology IT 124

Data Science 101

JUNE 3, 2019

Playing Atari with Deep Reinforcement Learning (2013) – A bit older, but a classic in the reinforcement learning literature Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning (2018) – title sums it up Borg, Omega, and Kubernetes (2016) – Kubernetes is widely used and this is one of the early papers Integer (..)

Data Science 96

Data Science Machine Learning Modeling Software 96

CIO Business Intelligence

JULY 23, 2023

Since the introduction of notable data privacy and human rights acts, like GDPR in 2016 and the CCPA in 2018, privacy regulations worldwide have continued to develop aggressively.

Data Governance 97

Data Governance Unstructured Data Cost-Benefit Machine Learning 97

CIO Business Intelligence

MARCH 27, 2024

Prepare now for the quantum cryptography threat To counter the threat well ahead of time, NIST launched in 2016 an international call for algorithms that will protect data even once large quantum computers become available. After a long selection process, NIST announced its intention to standardize four of the PQC algorithms this summer.

Optimization 140

Optimization Consulting Machine Learning Testing 140

CIO Business Intelligence

OCTOBER 21, 2022

Part of the strategy and policy that we put in place in early 2016 around the cloud was that the closer we were to the consumer experience, the more we could abstract from that consumer experience and leverage cloud and commodity services.” “We’ve spent several months in our lab refining the recipes and the processes to make it possible.”

Digital Transformation 145

Digital Transformation Data Lake Forecasting Technology 145

Jim Harris

MARCH 24, 2022

Calling all data analysts, machine learning engineers, and data scientists! I am working on building some demos and tutorials for machine learning. Of course, I will be sharing everything I do on GitHub.

Machine Learning 52

Machine Learning IT Data Quality 52

CIO Business Intelligence

JULY 24, 2023

The country’s premier football division, LaLiga, is leveraging artificial intelligence and machine learning (ML) to deliver new insights to players and coaches, and to transform how fans enjoy and understand the game. Artificial Intelligence, Data Management, Innovation, IT Leadership, Machine Learning

Broadcasting 97

Broadcasting Recreation/Entertainment Testing Machine Learning 97

CIO Business Intelligence

OCTOBER 10, 2023

Chet successfully took Apigee public before the company was acquired by Google in 2016. Artificial Intelligence, Machine Learning Google (Apigee) is the cross-cloud API management platform that operates in a multi- and hybrid-cloud world. Chet earned his B.S. in engineering from Arizona State University.

Data-driven 129

Data-driven Machine Learning Management Technology 129

CIO Business Intelligence

APRIL 11, 2024

What’s holding Oracle back Still, on the downside, while OCI is now competitive in PaaS, and has the benefit of the Oracle Autonomous Database, “its portfolio of cloud-native services still lags the leaders in some key areas” such as AI and machine learning (ML), Gartner’s Wright says.

Enterprise 124

Enterprise IT Data Processing Strategy 124

CIO Business Intelligence

SEPTEMBER 8, 2023

In 2016, Steven founded Accenture’s Data Ethics and Responsible Innovation practice, which he led until joining DataStax last year. Artificial Intelligence, Machine Learning Steven has catalyzed dozens of AI transformations and was a Fellow at the World Economic Forum, leading Digital Trust and Metaverse Governance initiatives.

Risk 126

Risk Strategy Modeling Data Processing 126

CIO Business Intelligence

AUGUST 24, 2023

Chet successfully took Apigee public before the company was acquired by Google in 2016. Artificial Intelligence, Machine Learning Google (Apigee) is the cross-cloud API management platform that operates in a multi- and hybrid-cloud world. Chet earned his B.S. in engineering from Arizona State University.

Cost-Benefit 98

Cost-Benefit Enterprise Machine Learning Marketing 98

CIO Business Intelligence

MARCH 25, 2022

With all the focus today on this transformation work, boards must ensure that no organization falls behind on the business benefits to be gained by leveraging technologies in data science, AI, machine learning, blockchain, etc. What other areas in these tech transformations are critical for boards to delve into?

Digital Transformation 114

Digital Transformation Uncertainty Machine Learning Strategy 114

CIO Business Intelligence

MARCH 1, 2023

Now, we have another exciting piece of the puzzle: Kaskada, a machine-learning company that recently joined forces with DataStax. Chet successfully took Apigee public before the company was acquired by Google in 2016. Their feature engine helps customers get more value from real-time data. Chet earned his B.S.

Cost-Benefit 97

Cost-Benefit Machine Learning Software Strategy 97

Smart Data Collective

FEBRUARY 3, 2022

Efforts over the past two decades have been primarily focused on the development of artificial intelligence and machine learning. This is almost 20 billion more than the previous year and over 50 billion than in 2016. That’s why we presented 6 mind-blowing facts you didn’t know about AI. Investments in AI. Neural Networks.

Machine Learning 100

Machine Learning Manufacturing Forecasting Business Analysis 100

DataRobot Blog

APRIL 29, 2022

The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. As machine learning advances globally, we can only expect the focus on model risk to continue to increase.

Risk 111

Risk Modeling IT Risk Management 111

Occam's Razor

MARCH 30, 2017

While the phrase Artificial Intelligence has been around since the first human wondered if she could go further if she had access to entities with inorganic intelligence, it truly jumped the shark in 2016. Machine Learning | Marketing. Machine Learning | Analytics. trillion pictures in 2016. Google Photos.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

DataRobot Blog

FEBRUARY 16, 2022

A 2016 paper that sought to explain integrated care , laid out four different definitions and five different conceptual frameworks. Big, complicated datasets require the right tools, and machine learning is critical to uncovering the trends hiding in these new datasets. Check out some of our current use cases. More information.

Machine Learning 52

Machine Learning Reporting Metrics Data Integration 52

Andrew White

JANUARY 9, 2020

We notes in our recent Hype Cycle for Data Science and Machine Learning the following about synthetic data: Synthetic data is utilized in use cases where the available data is limited, incomplete or cannot be sourced easily. 2016: The Challenges of Artificial Intelligence. Such numbers are pretty scary.

Machine Learning 59

Machine Learning Data Science Technology IT 59

Alation

DECEMBER 15, 2022

April 2016: Tesco Group becomes first customer outside North America. May 2016: Alation named a Gartner Cool Vendor in their Data Integration and Data Quality, 2016 report. October 2020: Forrester Research names Alation a Leader in The Forrester Wave: Machine Learning Data Catalogs, Q4, 2020.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

Decision Management Solutions

JANUARY 25, 2021

As a six-time honoree since 2016, James was selected for his excellence and expertise as an innovative thought leader in the technical community. We’re pleased to announce that Decision Management Solutions CEO James Taylor is among 735 members of the 2021 class of IBM Champions.

Insurance 52

Insurance Finance Machine Learning Data-driven 52

DataRobot

AUGUST 16, 2021

For example, in 2016 ProPublica discovered algorithmic bias in COMPAS (Correctional Offender Management Profiling for Alternative Sanctions), a proprietary algorithm used to predict the likelihood that an individual accused of a crime would reoffend.

Metrics 98

Metrics Modeling Machine Learning Data Collection 98

Cloudera

MAY 15, 2018

Cloudera Enterprise is the market leader in this space and working closely with the wider open source community to integrate the latest innovations in machine learning and artificial intelligence (AI). Derman (2016), Cesa (2017) & Bouchard (2018)). Blog Post, Nov-2016. Dr. Richard L. London – UK. Connier & M.

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

Insight

AUGUST 29, 2019

We heard from: Gareth Kafka , a Health Data Fellow from 2017, who discussed his work at Vectra AI where he uses reverse engineering strategies coupled with machine learning to model hackers’ behaviors and enhance data security for clients. Yi Jin was a Data Science Fellow in 2018 and joined Tamr as a Sales Engineer.

Data Science 56

Data Science Machine Learning Sales Measurement 56

Smart Data Collective

MARCH 17, 2020

By 2016, everyone wanted to hire a data scientist, and everyone wanted to be a data scientist. That’s where the machine learning came to existence. Data Science is a prerequisite of machine learning. Machine learning is not limited to one type of development. Sexiest Job of 21 st Century.

Data Science 97

Data Science Big Data Machine Learning Statistics 97

Cloudera

OCTOBER 31, 2017

We were selected based on our pre-IPO revenue growth driven by demand for our machine learning and analytic platform. This year’s winners were selected based on percent growth in revenue from fiscal years 2014 to 2016. .

Machine Learning 40

Machine Learning IoT Data-driven Marketing 40

DataRobot

MAY 11, 2021

Founded in 2016 by the creator of Apache Zeppelin, Zepl provides a self-service data science notebook solution for advanced data scientists to do exploratory, code-centric work in Python, R, and Scala. It supports both Zeppelin and Jupyter notebooks — new or imported. The Perfect Complement.

Data Science 98

Data Science Cost-Benefit Data Processing Modeling 98

Cloudera

SEPTEMBER 29, 2021

The majority of business leaders who participated in the IDG’s 2021 Data & Analytics Study are data haves — 86%, an increase from 68% in 2016. Another tool, CDP Data Visualization , expands access to data analytics and predictive insights through machine learning (ML) at no additional costs or the need to purchase third-party tools.

Data-driven 80

Data-driven Data Collection Strategy Enterprise 80

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. Microsoft’s Tay chatbot, released on Twitter in 2016, quickly started spewing racist, misogynist, and anti-Semitic messages. It becomes a social responsibility issue.

Risk 145

Risk Consulting Machine Learning Data Science 145

Smart Data Collective

NOVEMBER 11, 2020

You can keep reading to learn more about the history of these changes. Every aspect of golf in the modern form is being transformed through data analysis, cloud technologies, machine learning, and scientific advances. A study was held in 2016 that saw Big Data come into the scene. Big Data and Golf Game.

Big Data 83

Big Data Scorecard Statistics Cost-Benefit 83

DataRobot

MARCH 29, 2021

Despite the uncertainty and challenges of the past year, DataRobot is seeing the positive impact that AI and machine learning are having on our world as enterprises accelerate their AI adoption. AI Experience Worldwide , our free virtual conference, is just a few weeks away.

Uncertainty 52

Uncertainty Data Processing Forecasting Machine Learning 52

Smart Data Collective

JULY 11, 2019

In 2016, AJ Agrawal, the CEO of Alumnify, published an article detailing the ways that big data is affecting SEO. New machine learning tools improve the design process, which makes customers have a better experience. In 2013, Bookmark became one of the first companies to use machine learning to improve web design.

Big Data 77

Big Data Machine Learning Marketing Interactive 77

DataRobot Blog

MARCH 10, 2022

DataRobot and Snowflake Jointly Unleash Human and Machine Intelligence Across the Industrial Enterprise Landscape. The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016. High-level example of a common machine learning lifecycle.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Smart Data Collective

JULY 8, 2019

between 2016 and 2017. New predictive analytics and machine learning technology should address these concerns. Accident data provides insight and valuable information that can be used to help improve safety in the future. The reporting of accidents is crucial in maintaining the collection of this data. increased by 5.3%

Big Data 77

Big Data Measurement Reporting Predictive Analytics 77

Smart Data Collective

MAY 21, 2019

In 2016, cyber-attacks cost the United States economy between $57 billion and $109 billion. They use machine learning technology to determine the likelihood that content is associated with such an attack. Here are some ways that prudent organizations are utilizing big data for their contingency plans.

Big Data 78

Big Data Cost-Benefit Predictive Analytics Insurance 78

Sanjeev Mohan

FEBRUARY 6, 2019

My journey in helping our customers with their technical queries started when I joined Gartner in late 2016. I saw the winds change and the inquiry requests shifted towards advanced analytics involving machine learning (ML) questions. This is the focus of my latest research which published in Jan 2019. I am glad you asked.

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

Smart Data Collective

FEBRUARY 23, 2023

Deep Learning is a concept that first arose in 2006, with Geoffrey Hinton’s DNNs (Deep Neural Networks) training concept. The learning potential of deep learning was further demonstrated by AlphaGo in 2016 and, today, it is used increasingly to create high level software engineering (SE) tools.

Deep Learning 96

Deep Learning Software Risk Testing 96

CIO Business Intelligence

MAY 1, 2024

Il set di dati che ha addestrato il chatbot di Microsoft a pubblicare tweet razzisti Nel marzo del 2016, Microsoft ha imparato che l’uso delle interazioni di Twitter come dati di addestramento per gli algoritmi di ML [in inglese] può produrre risultati sconcertanti. Artificial Intelligence, Generative AI, Machine Learning

Software 105

Software Deep Learning Machine Learning Modeling 105