CTOvision

JANUARY 25, 2016

invited to participate in its January 2016 report entitled "The Forrester Wave TM : Big Data Hadoop Distributions, Q1 2016." YARN is the architectural center that provides a data platform for multi-workload data processing across an array of processing methods, which span Governance, Security, and Operations.

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Big Data Report Open Source Data 60

CTOvision

FEBRUARY 9, 2016

M att Turck has some interesting things to say about “big data” in “ Is Big Data Still a Thing? The 2016 Big Data Landscape).” Add in sensor based and unstructured data and you have situation where traditional data management thinking may prove inadequate. How much time will it take?

Big Data 60

Big Data Data Artificial Intelligence Artificial Inteligence 60

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

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

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.

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Government Analytics Technical Review Data 95

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.

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Government Industry Policies Big Data 60

CTOvision

MARCH 1, 2016

and New Streaming Analytics. HDF is a data-in-motion platform for real-time streaming of data and is a cornerstone technology for the Internet of Anything to ingest data from any source to any destination. now integrates streaming analytics engines Apache Kafka and Apache Storm for delivering actionable intelligence.

Analytics 61

Analytics Strategy Big Data Data Engineering 61

Kentik

SEPTEMBER 12, 2016

Avi Freedman Talks Attacks and Solutions in Cisco Live 2016 Interview. This is the second in a series of posts related to discussions that Kentik video-recorded with BrightTalk at Cisco Live 2016. Why Big Data? The big challenge is that you don’t always know in advance what you want to ask.

Big Data 40

Big Data Infrastructure Network Analytics 40

Cloudera

AUGUST 17, 2020

The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics and edge computing. In many established markets, traditional sources of revenue are either plateauing or declining relatively rapidly. .

IoT 99

IoT Industry B2C eBook 99

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? . Marketing function as an example.

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Data Big Data Project Management Analytics 110

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. Others may use different definitions but Amazon is the 500lb gorilla so for this post at least we will say we agree!

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Artificial Inteligence Artificial Intelligence IoT AWS 64

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 83

Analytics Budget Enterprise Machine Learning 83

Cloudera

SEPTEMBER 8, 2020

The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics, and edge computing. In many established markets, traditional sources of revenue are either plateauing or declining relatively rapidly. .

IoT 72

IoT Industry B2C Analytics 72

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)).

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Artificial Inteligence Machine Learning Analytics Big Data 43

Hu's Place - HitachiVantara

MAY 10, 2019

DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective. A 2016 CyberSource report claimed that over 90% of online fraud detection platforms use transaction rules to detect suspicious transactions which are then directed to a human for review.

Data 90

Data Artificial Inteligence Machine Learning Weak Development Team 90

ProtectWise

JUNE 2, 2017

Back then, data analysis was complicated and required experts with hard to find skills to own processes to ensure data was of a high enough quality and proper analytics were applied. No sooner than computers became financially and widely accessible did the real business value of big data analytics become known.

Analytics 40

Analytics Artificial Inteligence Data Analysis 40

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. Near real-time ad hoc analytics and multi-tenancy improvements with Apache HBase and Apache Phoenix.

Government 61

Government Data Big Data Azure 61

Trigent

OCTOBER 7, 2022

The insurance industry has come a long way since the first edition of ITC, held in 2016. The promises that analytics and big data hold for the sector are immense, be it in risk management, fraud detection, or analyzing user behavior. Glimpses from the even floor of InsureTech Connect Conference 2022.

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Conference Insurance Analytics Industry 52

Netflix Tech

SEPTEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and 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.

Data 92

Data Analytics Culture Video 92

Kentik

APRIL 3, 2017

Instead, enterprises were much more likely to approach these use cases with packet inspection tools, log files, and data extracted from management system APIs. Just two years later, as EMA reported in Network Management Megatrends 2016 , things had changed significantly. Advanced network analytics.

Analysis 40

Analysis Network WAN Data 40

CTOvision

NOVEMBER 10, 2016

SAN FRANCISCO – November 10, 2016 -- RiskIQ, the leader in digital risk management, today announced that it closed $30.5 Similar to Google, RiskIQ applies machine learning and data science to continuously improve platform intelligence and broaden functionality by leveraging big data, customer usage and attack activity.

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Artificial Inteligence Applications Firewall Artificial Intelligence 82

Hacker Earth

MARCH 29, 2018

So, companies must adopt emerging technologies such as AI, the blockchain, mobile technology, and analytics, which are successful enablers of better business outcomes. Blockchain can be the “network connecting and ordering data from the multiple devices and apps involved in a multidimensional process.” (EY, Blockchain.

Insurance 48

Insurance Industry Technology Artificial Inteligence 48

CTOvision

FEBRUARY 3, 2016

Here's how to tune up your business for 2016. US and Europe in 'Safe Harbor' Data Deal, but Legal Fight May Await - New York Times. How tech helped Ted Cruz; EU, US strike data transfer deal; DHS defends federal firewall - Washington Post. Federal government not immune to info-technology woes, auditor finds - 680 News.

Firewall 60

Firewall Government Big Data Budget 60

Kentik

FEBRUARY 22, 2018

As an example of what can happen, the Mirai malware set loose in late 2016 created a botnet of IoT devices that included ordinary consumer devices such as security cameras, routers, and other home use IoT devices purposely designed to take websites and entire networks offline. The scale of the initial Mirai-based attack was eye-opening.

IoT 40

IoT Big Data Malware Internet 40

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. Happy New Year and welcome to 2019, a year full of possibilities.

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Trends Artificial Inteligence Data Center Machine Learning 86

Kentik

MARCH 13, 2017

Big Data Network Intelligence Comes to Research & Education Community. The result is that analytics are typically limited to summary snapshots. As part of Internet2, we’ll now have the chance to raise awareness in the R&E community about applying big data analytics to the network.

Education 40

Education Big Data Network Analytics 40

Kentik

JUNE 6, 2017

How Big Data Network Intelligence Enables Institutional Success. In higher education, the priorities that IT must serve are encapsulated into the above diagram from an article, published in the January 2017 issue of Educause Review, by Susan Grajek and the 2016-2017 Educause IT Issues Panel.

Education 40

Education Network Big Data Software Review 40

Kentik

APRIL 17, 2017

We’re excited that one of the main foci is modern instrumentation and analytics. All of these organizations are looking to modernize their approach to analytics across the board by harnessing cloud-scale computing platforms and open, native APIs. This is the first time ONUG has held a conference outside of NYC. We hope you’ll attend.

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Conference Big Data Education Hotels 40

Datavail

SEPTEMBER 17, 2019

Mongo CTO and Co-Founder Eli Horowitz published a blog in June 2016 officially announcing the Atlas service as the “simplest, most robust” way to use Mongo in the cloud at deployments of many different sizes. S&P Global Market Intelligence data indicates the company experienced 182.1 percent growth in shares in 2018.

Cloud 40

Cloud Azure Big Data Storage 40

Kentik

FEBRUARY 6, 2017

Six months ago Cisco made a big-time splash in the network analytics pool with the introduction of Tetration Analytics. Billion acquisition of AppDynamics, Cisco has made another blockbuster analytics-related move. There’s gold in your network data, and Kentik Detect uncovers it. APM Needs NPM, NPM Needs Kentik.

Metrics 40

Metrics Analytics Network Microservices 40

Strategy Driven

MARCH 2, 2016

Size doesn’t matter: why predictive analytics prove your customer relationship management methods are likely falling short. For a sales-driven organization, it isn’t the size of your data that matters, it’s what you do with it. Not only that but high performers are also four times more likely to use predictive analytics.

Analytics 20

Analytics System Budget Analysis 20

CTOvision

MARCH 23, 2016

This webinar will take place Thursday, March 24, 2016 at 1:00 PM ET; 10:00 AM PT , the duration will be one hour. Katie Kennedy. Analysis at the speed of mission : Rapidly pivot when situational awareness or tipping-and-cueing is needed as real-time events unfold. Register Today Here. .

Analysis 60

Analysis Analytics Innovation Government 60

Kentik

NOVEMBER 8, 2016

PenTeleData initially deployed the combined solution in May of 2016, and it has been in full production since June. Know you need big data DDoS detection accuracy and deeper network analytics? PenTeleData chose Radware to refresh their DDoS mitigation layer, and asked for Kentik and Radware to connect the two systems.

Case Study 40

Case Study Big Data Analytics Retail 40

Altexsoft

JUNE 2, 2020

Additionally, tools like user and event behavior analytics (UEBA), when powered by AI, can analyze user behavior on servers and endpoints, and then detect anomalies that might indicate an unknown attack. Machine learning can quickly scan large amounts of data and analyze it using statistics.

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Artificial Inteligence Examples Applications Machine Learning 93

CircleCI

NOVEMBER 18, 2021

Research firm Gartner first coined the term AIOps in 2016. AIOps uses machine learning and big data to assist IT operations. However, the security challenges introduced by big data and software at scale are tangible. A brief history of AIOps. Cooperating with AI.

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Artificial Inteligence Weak Development Team Machine Learning Artificial Intelligence 52

Kentik

NOVEMBER 18, 2016

As the article mentions and we’ve referenced before, Gartner in its May, 2016 research note agrees that a real sea change is needed for NPM: “Migration to the cloud, in its various forms, creates a fundamental shift in network traffic that traditional network performance monitoring tools fail to cover.

Load Balancer 40

Load Balancer Big Data Cloud Network 40

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. It covers the entire data analytics lifecycle, from data extraction to visualization and reporting, using Agile practices to speed up business results.

Analytics 75

Analytics DevOps Development Software Review 75