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.

Big Data 75

Big Data Pharmaceuticals Data Analytics 75

Newgen Software

FEBRUARY 6, 2024

Organizations need to transition towards a digital business ecosystem that uses data and analytics as a tactical weapon. This requires significant adaption in organizational culture, one that is driven by a data strategy and supported by a robust Business Process Management (BPM) based analytics platform. Why Analytics?

Analytics 52

Analytics Analysis Organization System 52

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

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. It’ll certainly need a substantial war chest to compete in the growing market for data analytics products. Unsupervised, Pecan.ai

Analytics 207

Analytics Big Data Enterprise Automotive 207

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

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

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

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.

Big Data 60

Big Data Report Data Open Source 60

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. Which brings me to the main topic of this presentation: how do we build analytic services and products in an age when data privacy has emerged as an important issue?

Analytics 131

Analytics Artificial Inteligence Data Machine Learning 131

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. Ocrolus has emerged as one of the pillars of the fintech ecosystem and is solving for these challenges using OCR, AI/ML, and big data/analytics,” he wrote via email. “We

Fintech 243

Fintech Banking Artificial Inteligence Machine Learning 243

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

MARCH 22, 2021

Users can then transform and visualize this data, orchestrate their data pipelines and trigger automated workflows based on this data (think sending Slack notifications when revenue drops or emailing customers based on your own custom criteria). y42 founder and CEO Hung Dang. Image Credits: y42.

Business Intelligence 244

Business Intelligence Software Review B2B Analytics 244

Kentik

MAY 31, 2016

In the first post we discussed the need for a Big Data approach to network management in order to support agile business models and rapid innovation. In the second post we looked at how insights from a Big Data approach to network management enable data-driven network operations. trillion dollar problem.

Big Data 40

Big Data Data Analytics Weak Development Team 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.

Meeting 72

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.

Government 95

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.

Government 60

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 95

IoT Industry B2C eBook 95

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.

Data 110

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!

Artificial Inteligence 64

Artificial Inteligence Artificial Intelligence IoT AWS 64

Cloudera

OCTOBER 26, 2020

Cloudera and Dell/EMC are continuing our long and successful partnership of developing shared storage solutions for analytic workloads running in hybrid cloud. . Since the inception of Cloudera Data Platform (CDP), Dell / EMC PowerScale and ECS have been highly requested solutions to be certified by Cloudera. “Our Query Result Cache.

Cloud 86

Cloud Quality Assurance Storage Analytics 86

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 78

Analytics Budget Enterprise Artificial Inteligence 78

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 70

IoT Industry B2C Analytics 70

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

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

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

CTOvision

JULY 25, 2016

NEW YORK, July 20, 2016 – Deloitte Advisory Cyber Risk Services and Cray Inc. Nasdaq: CRAY), the global supercomputing leader, introduced today the first commercially available high-speed, supercomputing threat analytics service, Cyber Reconnaissance and Analytics. Charles Hall. What do you look like to your adversary?”

Technical Review 61

Technical Review Analytics Weak Development Team Big Data 61

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

OverOps

APRIL 23, 2019

The second phase of cloud evolution occurred between 2014 and 2016. Cloud bursting is best used for applications that are not dependent on complex delivery infrastructure or integration with other components, applications and systems that may be internal to the data center. Higher Level of Control Over Big Data Analytics.

Cloud 189

Cloud Data Center Architecture AWS 189

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.

Conference 52

Conference Insurance Analytics Industry 52

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

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 91

Data Analytics Culture Video 91

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.

Artificial Inteligence 82

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