CTOvision

SEPTEMBER 9, 2016

Zoomdata is the next generation data visualization system that easily allows companies and people to understand data visually in realtime. Zoomdata develops the world’s fastest visual analytics solution for big data. They are an In-Q-Tel company and a strategic investment in Zoomdata was announced on 8 Sep 2016.

Big Data 60

Big Data Data Analytics Scalability 60

Toptal

NOVEMBER 30, 2017

However, a solution could be data analytics, which enhances and accelerates drug development. This article examines the current state of drug development, and how big data can improve its different components: drug discovery, clinical trial design, and adverse drug reaction detection. billion to bring a single drug to market.

Big Data 75

Big Data Pharmaceuticals Data Analytics 75

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 Data Google Cloud Azure 71

CTOvision

JANUARY 25, 2016

On 18 Feb 2016, Women In Technology present "The Promise and Peril of Big Data". Big Data has enormous promise for consumers and organizations alike. Big data makes it easier than ever to listen to, interact with, and connect with customers and respond with better products and services.

Big Data 60

Big Data Technology Data Trends 60

CTOvision

MAY 24, 2016

has announced the launch of the Cray® Urika®-GX system -- the first agile analytics platform that fuses supercomputing technologies with an open, enterprise-ready software framework for big data analytics. The Cray Urika-GX system is designed to eliminate challenges of big data analytics. About Cray Inc.

Big Data 64

Big Data Analytics Agile System 64

CIO

SEPTEMBER 22, 2022

Aiven provides open source solutions that stand up a cloud based data infrastructure, freeing developers to focus on high value projects, and in the process, accelerate cloud migration and modernization. I remember, we used to go and talk to customers, when big data was like a gigabyte.”. Dealing with complexity.

Innovation 130

Innovation Google Cloud Data Open Source 130

CTOvision

JANUARY 25, 2016

Wondering where supercomputing is heading in 2016? This is something to keep an eye on throughout 2016. Data-Tiering. As a result, there is now a need for managing data movement between disks to solid state storage to non-volatile memory to random-access memory. Katie Kennedy. New Processor Technologies.

Artificial Intelligence 71

Artificial Intelligence Artificial Inteligence Big Data Analytics 71

CTOvision

JANUARY 25, 2016

invited to participate in its January 2016 report entitled "The Forrester Wave TM : Big Data Hadoop Distributions, Q1 2016." The Hortonworks Data Platform (HDP TM ) is the only completely open source Apache TM Hadoop® data platform that is architected for the enterprise. Related articles.

Big Data 60

Big Data Report Data Open Source 60

CTOvision

JANUARY 14, 2016

In the video below, Mark Sargeant addresses how Bright computing uses the power of OpenStack for their own DevOps environment, Bright for Big Data, and the value of a single pane of glass infrastructure management solution. Leading Tech Authors to Participate in Gary's Book Club at CES 2016 (news.sys-con.com). Katie Kennedy.

Big Data 61

Big Data Data DevOps Microservices 61

Cloudera

JANUARY 22, 2019

Today’s data landscape is characterized by exponentially increasing volumes of data, comprising a variety of structured, unstructured, and semi-structured data types originating from an expanding number of disparate data sources located on-premises, in the cloud, and at the edge. What is Big Data Fabric?

Big Data 44

Big Data Scalability Data Analytics 44

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

CTOvision

FEBRUARY 12, 2016

InterConnect 2016 is 21-25 February at the MGM Grand & Mandalay Bay in Las Vegas (side note: this event attracts so many forward thinking technologists and business leaders that there are very few venues large enough to hold it). Bob Gourley.

Big Data 63

Big Data IoT Mobile Scalability 63

Kentik

SEPTEMBER 6, 2016

Cisco Live 2016 Interview Covers Why, How, and What’s Next. _Cisco Live 2016 gave us a chance to connect with scores of visitors to our booth — both old friends and new — as well as the opportunity to meet with BrightTalk for some video-recorded discussions on hot topics in network operations. Why Big Data NetFlow Analysis?

Big Data 40

Big Data Analysis Data Architecture 40

TechCrunch

APRIL 11, 2023

CEO Tatiana Krupenya says that it’s an administrative tool that allows anyone to access data from a variety of sources. Krupenya says this capability puts data administration in reach of not just the most technical data engineers, but also people in other lines of business roles, who normally might not have access to tools like this. “So

Open Source 203

Open Source Database Administration Artificial Inteligence Machine Learning 203

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 clients feed the platform data like SKU-level sales, pricing, inventory at the location level and shopper behavior during e-commerce sales. .

Analytics 207

Analytics Big Data Enterprise Automotive 207

Kentik

MAY 31, 2016

The Digital Business Benefits of Data-driven Network Management. This post is the third in my series about the intelligent use of network management data to enable virtually any company to transform itself into a digital business. Network security is another example of an area with lots of potential for data-driven improvement.

Big Data 40

Big Data Data Analytics Weak Development Team 40

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?

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Technical Review Systems Review Software Review Artificial Inteligence 61

CTOvision

DECEMBER 30, 2015

The Trends To Track in 2016. Bi g Data. 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. For 2016, expect more IT departments to be buying these small form factor cloud in a box data centers. R obotics.

Technical Review 62

Technical Review Trends Report Enterprise 62

CTOvision

NOVEMBER 21, 2015

Strata + Hadoop World is the leading event on how big data and ubiquitous, real-time computing is shaping the course of business and society. It brings together the world’s best data scientists and business leaders to share hard-won knowledge and innovations in technology and strategy.

Big Data 62

Big Data Course Programming Innovation 62

CTOvision

JUNE 3, 2016

This video from Strata + Hadoop World 2016 captures Bruce Andrews from the U.S. Department of Commerce as he explains how commerce data can catalyze progress. This is good context that gives a snapshot into some of the benefits open data approaches can have to the economy. Michael Johnson.

Data 61

Data Innovation Video Big Data 61

CTOvision

JANUARY 6, 2016

To help IoT solution providers define their 2016 product roadmap, here are some of INSIDE Secure’s top IoT predictions for the year: IoT hype will become reality. In 2016 there will be a growing number of authentic success stories where the IoT provides real value to consumers and enterprises.

IoT 67

IoT Internet Authentication Automotive 67

The Crazy Programmer

SEPTEMBER 28, 2022

Turing Award laureate David Patterson retired in 2016. Themes like benchmarking, Data Science, and Big data intersect with software where he had focussed. In his computer hardware research, David mostly incorporated elements of Array data structure, Multi-core processor, and Cache. He served for 40 years.

Software Engineering 173

Software Engineering Architecture Storage Education 173

TechCrunch

SEPTEMBER 23, 2021

Ocrolus uses a combination of technology, including OCR (optical character recognition), machine learning/AI and big data to analyze financial documents. In a nutshell, the company aims to help lenders make “faster, data-driven decisions.” By 2016, the company had launched its official product and was generating revenue.

Fintech 243

Fintech Banking Artificial Inteligence Machine Learning 243

CTOvision

OCTOBER 20, 2016

Is it really true that "Nearly two-thirds of big data projects will fail to get beyond the pilot and experimentation phase in the next two years, and will end up being abandoned," as suggested by Steve Ranger last year in Your big data projects will probably fail, and here's why? . Marketers Must Now Be Both.

Data 110

Data Big Data Project Management Analytics 110

CIO

JULY 11, 2024

When a big data-consuming organization like FINRA put out the word it was seriously considering public cloud, all the big vendors came calling. By about 2016 that became a non-issue because we very confidently could say we’re more secure in the public cloud than we could ever be privately,” he says.

Data Center 306

Data Center Cloud Culture Sustainability 306

CTOvision

FEBRUARY 19, 2016

Bob's background includes strategic planning, big data, cybersecurity and leveraging those for business outcomes. Bob is participating in Australia's Connect Expo 19-20 April 2016. Bob will be part of the Fireside chat: Tackling the data security and privacy challenges of the IoT, with. David Sykes, Director, Sophos.

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Meeting IoT Strategic Planning Internet 72

TechCrunch

MAY 25, 2021

May 27 Clubhouse chat: How to ensure data quality in the era of Big Data. Join TechCrunch reporter Ron Miller and Patrik Liu Tran, co-founder and CEO of automated real-time data validation and quality monitoring platform Validio, on Thursday, May 27 at 9 a.m. How to ensure data quality in the era of Big Data.

Technical Review 238

Technical Review Development Team Review Software Review Weak Development Team 238

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

Capgemini

MARCH 11, 2020

New cars generate huge amounts of data, created in real time from vast numbers of connected sensors, instruments, and an increasing number of cameras – all of which provide great insight into every aspect of vehicle operation.

Artificial Inteligence 98

Artificial Inteligence Technology Automotive Data 98

CTOvision

MARCH 9, 2016

The 5th Annual Cloudera Federal Forum will be held 15 March 2016. The event is a great opportunity to network with others in the federal data and analytics ecosystem, and a fantastic way to learn best practices, emerging concepts of operation and of course the latest from the big data tech community. Mike Olson.

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Government Industry Policies Big Data 60

CTOvision

JUNE 20, 2016

Thanks to Amazon.com we are able to provide our readers with a free copy of the Kindle version of our book on The Cyber Threat during a special three day promotion running 22, 23 and 24 June 2016.

Organization 62

Organization Big Data Data Cloud 62

CTOvision

DECEMBER 9, 2016

In 2013 I helped Carahsoft pull together an event focused on the emerging (at the time) concept of Big Data. The highlight of the 2013 Government Big Data Forum was not just the focus on Hadoop-centric platforms like Cloudera, but the exchange of lessons learned and best practices from people in and around the federal space.

Government 95

Government Analytics Technical Review Data 95

TechCrunch

MARCH 22, 2021

Berlin-based y42 (formerly known as Datos Intelligence), a data warehouse-centric business intelligence service that promises to give businesses access to an enterprise-level data stack that’s as simple to use as a spreadsheet, today announced that it has raised a $2.9 million seed funding round led by La Famiglia VC.

Business Intelligence 244

Business Intelligence Software Review B2B Analytics 244

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 Artificial Inteligence Machine Learning Weak Development Team 90

Netflix Tech

SEPTEMBER 18, 2020

and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley. What was your path to working in data? There’s us to the right!

Data 91

Data Analytics Culture Video 91

CTOvision

JULY 28, 2016

At Hadoop Summit in San Jose on Tuesday, June 28, 2016, Hortonworks announced a new release of its Hortonworks Data Platform (HDP) Hadoop distribution, version 2.5, Processing streaming data in real time with Apache Storm. Is Hadoop becoming the center of gravity for data? | #HS16SJ (siliconangle.com). Charles Hall.

Government 61

Government Data Big Data Azure 61

O'Reilly Media - Data

MAY 3, 2018

Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products. The end result being that there’s even a more heightened awareness around data privacy, and people are acknowledging that problems go beyond a few companies or a few people.

Analytics 131

Analytics Artificial Inteligence Data Machine Learning 131