O'Reilly Media - Data

AUGUST 16, 2018

The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. The main standard with some applicability to big data is ANSI SQL.

Big Data 122

Big Data Data Storage Azure 122

Agile Engine

FEBRUARY 20, 2019

2018 was the second consecutive year when Gartner published an obituary of Big Data. No one, including Gartner, thinks Big Data is dead. Au contraire, Big Data has grown so ubiquitous it became “just data”, argue the authors of the obituaries. Trend 1: From Big Data to “Just Data”.

Big Data 71

Big Data Google Cloud Data Azure 71

Hacker Earth Developers Blog

JANUARY 22, 2020

Right from programming projects such as data mining and Machine Learning, Python is the most favored programming language. Some of the common job roles requiring Python as a skill are: Data scientists . Data analyst. Machine Learning engineer. Machine Learning developers.

Technical Review 216

Technical Review Machine Learning Artificial Inteligence Software Review 216

CTOvision

MARCH 22, 2016

During President Obama's 2016 State of the Union Address, Vice President Joe Biden was called to lead a new, national “Moonshot” initiative to eliminate cancer. Moonshot's most valuable asset, and greatest challenge, is the volume and variety of "big cancer data". Katie Kennedy. Invest today in the tech of tomorrow.​

Machine Learning 66

Machine Learning Artificial Inteligence Analytics Organization 66

CTOvision

AUGUST 13, 2016

For an August 2016 update on how things are going see the video at this link and below: The power of the AWS cloud is now driving continuous advancements in Analytics, Artificial Intelligence and IoT. For more on Amazon's capabilities in Cloud Computing, Artificial Intelligence and IoT see: https://aws.amazon.com/.

Artificial Inteligence 64

Artificial Inteligence Artificial Intelligence IoT AWS 64

CTOvision

JULY 19, 2016

Empowering Growth Hackers with Big Data. Empowering Growth Hackers with Big DataCIOGrowth hacking brings together the ideas of hacking big data and driving business growth. Microsoft and Boeing team up to streamline aviation through big data and AI . CIO Explainer: What is Artificial Intelligence?

Technical Review 61

Technical Review Systems Review Software Review Artificial Inteligence 61

Altexsoft

JUNE 2, 2020

The same Norton research found that it can take companies, on average, 196 days to identify a data breach. This is where Artificial Intelligence (AI) comes in. What Is Machine Learning and How Is it Used in Cybersecurity? Many modern security tools, like threat intelligence, already utilize machine learning.

Artificial Inteligence 93

Artificial Inteligence Examples Applications Machine Learning 93

DataRobot

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. When business decisions are made based on bad models, the consequences can be severe.

Artificial Inteligence 111

Artificial Inteligence Systems Review Technical Review Software Review 111

Datavail

JUNE 4, 2019

The release of SQL Server 2016 offered a host of new features for organizations. Some of the new capabilities and enhancements included Stretch Databases, Always Encrypted, a Query Data Store, Dynamic Data Masking, and more. The adoption of big data analysis capabilities is soaring in the enterprise, according to Forbes.

Analytics 40

Analytics Big Data Analysis Open Source 40

CircleCI

NOVEMBER 18, 2021

AIOps is an approach to managing the exponential growth of IT operations and the complexity of new technology through the application of artificial intelligence (AI). IT infrastructure increasingly relies on complicated deployments, multi-cloud architectures, and huge amounts of data. Take cloud misconfiguration, for example.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Artificial Intelligence Machine Learning 52

CTOvision

DECEMBER 14, 2016

In August 2016 Sean Anderson posted some strategic context on how Apache Spark fits in the overall Apache Hadoop framework at the Cloudera Vision blog. Perhaps the greatest are the many solutions around Machine Learning and Artificial Intelligence. It fits well in the Hadoop ecosystem.

Artificial Inteligence 67

Artificial Inteligence Artificial Intelligence Machine Learning Internet 67

d2iq

JANUARY 23, 2023

We have entered the next phase of the digital revolution in which the data center has stretched to the edge of the network and where myriad Internet of Things (IoT) devices gather and process data with the aid of artificial intelligence (AI).As also is a key element of the U.S. government’s modernization effort.

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence IoT Data Center 69

Capgemini

MARCH 11, 2020

According to a new report by the Capgemini Research Institute, Accelerating automotive’s AI transformation: How driving AI enterprise-wide can turbo-charge organizational value , artificial intelligence (AI) technologies are key to the success of this predictive-maintenance approach. We expect to see ever-broader adoption of it.

Artificial Inteligence 98

Artificial Inteligence Automotive Technology Data 98

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

O'Reilly Media - Data

MAY 3, 2018

Machine learning. For machine learning, let me focus on recent work involving deep learning (currently the hottest ML method). One application could be medical institutions wanting to build and learn a more accurate, joint model, without sharing data with people outside their respective organizations.

Analytics 125

Analytics Artificial Inteligence Data Machine Learning 125

CTOvision

JUNE 28, 2016

In a recent interview with Charlie Rose, he stated that machine learning showed great promise for cybersecurity, but that the necessary technology was probably five years out. If machine learning is currently so successful in other areas of society, why isn’t it ready for cybersecurity? Types of Machine Learning.

Security 62

Security Artificial Inteligence Artificial Intelligence Malware 62

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Derman (2016), Cesa (2017) & Bouchard (2018)).

Artificial Inteligence 42

Artificial Inteligence Machine Learning Analytics Big Data 42

CTOvision

JUNE 15, 2016

Need a primer on marketing terms for Machine Learning? You may want to check this out: Machine Learning for Marketing: Cheat Sheet. Machine Learning for Marketing: Cheat Sheet. At WWDC 2016, Apple is finally embracing Not Apple - Macworld. Charles Hall. EU proposes cutting wholesale roaming rates.

Technology 62

Technology Machine Learning Artificial Inteligence 3D 62

CTOvision

DECEMBER 30, 2015

It also provides context around the emerging discipline of cyber threat intelligence. The Trends To Track in 2016. A rtificial Intelligence. Here is more on what we expect each will bring us in 2016: Cloud Computing : The efficiencies of this new architecture are driving compute costs down.

Technical Review 62

Technical Review Trends Report Enterprise 62

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

TechCrunch

FEBRUARY 17, 2021

Notable investments include high-tech prospectors like KoBold Minerals (another Breakthrough Energy Ventures portfolio company), which uses big data and machine learning to help pick better targets for mines and Lunasonde , which prospects from space using satellites. Finally there’s J.B.

Energy 201

Energy Weak Development Team Chemicals Resources 201

TechCrunch

AUGUST 2, 2022

Ranade, who attended Stanford and Columbia, was previously an associate partner at McKinsey and co-founded web-scraping startup Kimono Labs, which was acquired by Palantir in 2016. Arena’s services are wrapped up in a lot of hyperbolic language, but they’re relatively straightforward in execution. Unsupervised, Pecan.ai

Analytics 207

Analytics Big Data Automotive Enterprise 207

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Scalability Data Analytics 44

CTOvision

NOVEMBER 10, 2016

SAN FRANCISCO – November 10, 2016 -- RiskIQ, the leader in digital risk management, today announced that it closed $30.5 RiskIQ provides organizations access to the widest range of security intelligence and applications necessary to understand exposures and take action - all without leaving the platform. Million in Series C Funding.

Artificial Inteligence 82

Artificial Inteligence Applications Firewall Artificial Intelligence 82

N2Growth Blog

JANUARY 10, 2017

Sundar Pichai, Google CEO, October 2016. Artificial Intelligence (AI) is at a tipping point, leading a watershed shift to digital intelligence by discovering previously unseen patterns, drawing new inferences, and identifying new relationships from vast amounts of data. Machine Learning Engineer.

Company 86

Company Artificial Inteligence Big Data Machine Learning 86

The Parallax

APRIL 17, 2019

How Facebook fights fake news with machine learning and human insights. CrowdStrike CEO on political infosec lessons learned (Q&A). Facebook groups that Russian operatives used to spread disinformation about other politically charged topics during the run-up 2016 U.S. 2016 election. million shares and 6.1

Malware 189

Malware Meeting Fractional CTO CTO 189

CTOvision

JANUARY 18, 2016

From their manual that includes: Machine intelligence : Artificial intelligence and machine learning technologies, including both core technologies and industry applications. But as an enterprise technologist I'm personally more interested in the types of firms VC's invest in.

Artificial Inteligence 81

Artificial Inteligence Research Artificial Intelligence Machine Learning 81

Kentik

JULY 5, 2016

Tetration Announcement Validates Big Data Direction. I’d like to welcome Cisco to the 2016 analytics party. Because while Cisco didn’t start this party, they are a big name on the guest list and their presence means that IT and network leaders can no longer ignore the need for Big Data intelligence.

Analytics 40

Analytics Big Data Data Center WAN 40

Altexsoft

NOVEMBER 2, 2018

Artificial Intelligence (AI) is taking an increasingly central role in the logistics industry. As the world’s logistical requirements continue to become even more complex, big-data driven applications have already stepped in to streamline logistics on a global scale. This is a guest story by tech blogger Camille Peters.

Industry 87

Industry Artificial Inteligence Blockchain Technical Review 87

Hacker Earth

MARCH 29, 2018

Artificial Intelligence. Along with cutting down operational costs and ensuring fast, reliable, and secure applications, blockchain has the potential to disrupt existing business models in several ways. EY, 2016) It can help manage the huge volumes by ensuring P2P device communication. Blockchain. Augmented Reality.

Insurance 48

Insurance Industry Technology Artificial Inteligence 48

Cloudera

SEPTEMBER 29, 2021

Savvy medium-sized businesses have opportunities to implement data tools as they become more widespread and affordable. . 86% of the companies adopting big data and data analytics state that adopting the technology has had a positive impact. . The returns are tangible. Challenges.

Analytics 77

Analytics Budget Enterprise Machine Learning 77

Apiumhub

JULY 16, 2019

In 2016, as tech passionate of cloud application development she achieved IBM Certified Application Developer – Cloud Platform v1. Since then, she has enriched her cloud expertise by learning and certifying as a Salesforce Developer and attained a better understanding on how to integrate different types of cloud offerings.

Software Development 111

Software Development Software Review Technical Review Software 111

Altexsoft

FEBRUARY 10, 2021

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. This approach to data workflow management was first taken by Airbnb.

Analytics 75

Analytics DevOps Development Software Review 75

Dion Hinchcliffe's Web 2.0 Blog

OCTOBER 5, 2016

The news here at Dreamforce so far has been unusually pre-announced, with Salesforce’s first significant artificial intelligence play, known as Einstein , as the most important announcement so far. How to get them involved in computer science, artificial intelligence, and robotics. ” (Big applause.)

Artificial Inteligence 43

Artificial Inteligence Artificial Intelligence Video Culture 43

ProtectWise

JUNE 2, 2017

If something in the process were to go awry, or if the data collected couldn't be validated, entire projects would have been at risk of being scrapped. No sooner than computers became financially and widely accessible did the real business value of big data analytics become known. Investors are buying into this potential.

Analytics 40

Analytics Artificial Inteligence Data Analysis 40

ProtectWise

JANUARY 11, 2017

Starting in 2017, security companies will leveraging these technologies in their solutions to create the best, most intuitive user experience possible when dealing with exponential and ever growing amounts of big data. In 2016 we saw the birth of response orchestration and security tooling automation.

VR 61

VR Big Data Fashion Enterprise 61

Hacker Earth Developers Blog

JANUARY 22, 2020

Right from programming projects such as data mining and Machine Learning, Python is the most favored programming language. Some of the common job roles requiring Python as a skill are: Data scientists . Data analyst. Machine Learning engineer. Machine Learning developers.

Technical Review 26

Technical Review Machine Learning Artificial Inteligence Software Review 26