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

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. So actually anyone who needs to work with data can use DBeaver,” she told TechCrunch.

Open Source 203

Open Source Database Administration Machine Learning Artificial Inteligence 203

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 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

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

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

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

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

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

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

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

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

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

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

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

TechCrunch

OCTOBER 20, 2021

Though these same companies have accelerated their digitalization to meet employees and customers where they are — up to 92% of all digital traffic worldwide is done through mobile devices — they lack visibility of this data and how it can be converted into retention and revenue. How to ensure data quality in the era of big data.

Mobile 246

Mobile Data Weak Development Team Software 246

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 27, 2016

What happens when you make an artificial intelligence binge-watch 600 hours of TV? Rumored 2016 MacBook Pro, 5K Display, iPhone 7 Could Provide Excitement - Forbes. Week in Review: Most popular stories on GeekWire for the week of June 19, 2016. What's the latest rumor for the iPhone 7? Apple Boring? Browse Free or Die?

Technical Review 61

Technical Review Technology Software Review Systems Review 61

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 127

Analytics Artificial Inteligence Data Machine Learning 127

CTOvision

JULY 11, 2016

Meeker also delves into artificial intelligence, Snapchat brand integrations, changes to live sports viewing habits, car industry innovation and the rise of millennial consumers, among many other topics. (We recommend downloading the entire report here ).

Internet 61

Internet Trends Report Artificial Intelligence 61

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

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

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

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

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

TechCrunch

DECEMBER 16, 2021

Essentially, Continually maintains both the predictive model and the prediction Using data from the data warehouse and writing the predictions back into the data warehouse.” “We’re moving from this era of big data to this era of big complexity,” Zajonc said.

Data 223

Data Enterprise Big Data Infrastructure 223

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

DECEMBER 23, 2015

We will see the emergence of DataOps as a way for enterprises to manage and embrace the full volume and variety of their data ─ helping them rapidly deliver data that enables and accelerates analytics. Data science (and its technology complex analytics) will break out in 2016. We will see a turning point for data science.

Data 67

Data Artificial Intelligence Artificial Inteligence Technical Review 67

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

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

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

The Parallax

MARCH 26, 2018

Not without artificial intelligence , that is. In 2016, Slack created an $80 million fund to run its chatbot network. When you combine the widespread accessibility of chatbots with the advent of Cambridge Analytica-style big-data trend analysis, which supported Donald Trump’s campaign for U.S.

Social 176

Social Media Internet Engineering 176

CTOvision

AUGUST 24, 2016

RiskIQ Accelerates Momentum Across Entire External Threat Management Solution Set in First Half of 2016. The New York Times mentioned RiskIQ in a March 2016 article discussing encryption, mobile device security and the FBI’s request, and later court case, regarding unlocking an iPhone related to a terrorist incident.

Firewall 76

Firewall Mobile Healthcare Advertising 76

CTOvision

JANUARY 13, 2016

Nevertheless, many of these products have received positive reviews and there's potential for a faster commercial transition to Windows 10 in 2016 than we saw for prior versions of Windows.". Artificial Intelligence : Science fiction has brought this term to be a household word, but few realize the reality of this field of computing.

Artificial Intelligence 67

Artificial Intelligence Artificial Inteligence Windows Internet 67

Hacker Earth Developers Blog

JULY 19, 2018

Businesses that use Artificial Intelligence (AI) and related technology to reveal new insights “will steal $1.2 Recent advances in AI have been helped by three factors: Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media. predicts Forrester Research. Conclusion.

Artificial Inteligence 200

Artificial Inteligence Artificial Intelligence Applications Technical Review 200

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 75

Analytics Budget Enterprise Machine Learning 75