Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. Machine Learning in the Age of Big Data. From its origins in the 1950’s to today, the age of big data. General Data Protection Regulation (GDPR) and Data Science.

Artificial Inteligence 45

Artificial Inteligence Machine Learning Big Data IoT 45

Actian

JANUARY 25, 2019

2018 was a year of solid growth and progress for Actian, with many announcements and company highlights – including a major acquisition, a proprietary event, product innovations and much more! August 2018 ushered in a new version of Actian DataConnect , which was chock full of new features to better support DataConnect users.

Technical Review 40

Technical Review IoT Fractional CTO Conference 40

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 91

Analytics Network Innovation IoT 91

Tenable

AUGUST 19, 2022

In a blog post , SRT research engineers Claire Tills and Satnam Narang explain that, while the list of vulnerabilities isn’t exhaustive, it offers a starting point for organizations looking to cut off known attack paths exploited by the most prolific malware. CVE-2018-0798. CVE-2018-0802. CVE-2018-14847. CVE-2017-8750.

IoT 52

IoT Malware Windows Guidelines 52

Apiumhub

APRIL 8, 2021

The people listed promote learning and the sharing of knowledge by sharing their insights through LinkedIn, Twitter, blog posts, podcasts, books, workshops, etc. Top Data Science experts you should know about. Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities.

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Artificial Inteligence Technical Advisors Data Machine Learning 109

Cloudera

DECEMBER 19, 2018

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. Big Data Technologies and Architectures. In 2015, only 17% of organizations surveyed had big data implementations.

Analytics 52

Analytics Trends Data Big Data 52

Hu's Place - HitachiVantara

JUNE 27, 2018

Bill is very well known in the Big Data Community having authored two books, “Big Data: Understanding How Data Powers Big Business” and "Big Data MBA: Driving Business Strategies with Data Science." He is considered the Dean of Big Data.

Fractional CTO 40

Fractional CTO IoT Big Data Analytics 40

Apiumhub

AUGUST 13, 2018

And now, in 2018, innovation in the technology industry is booming with AI , machine learning, advanced robotics, voice recognition , big data , etc. Global music innovation disrupted fields such as experiential music robotics, playlisting, artist rights, music distribution data management, etc. The era of unicorns.

Artificial Inteligence 51

Artificial Inteligence Artificial Intelligence Blockchain Innovation 51

Openxcell

MARCH 22, 2023

This blog will examine why the digital healthcare industry is important, what benefits technology can bring to the industry and patients, the key trends of healthcare digitization, and what challenges it faces. The healthcare industry gains a lot from integrating cutting-edge technology like AI, Big Data, and IoT.

Healthcare 52

Healthcare Trends Technical Review VR 52

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. More recently, in November 2018, Microsoft Azure announced MongoDB Atlas free tier would be available in limited regions.

Cloud 40

Cloud Azure Big Data Storage 40

Hu's Place - HitachiVantara

JANUARY 3, 2019

2018 was a year of maturity for Digital Transformation, and most companies are committed to transforming their companies. Trend 3: Increasing Data Requirements Will Push Companies to The Edge with Data Enterprise boundaries are extending to the edge – where both data and users reside, and multiple clouds converge.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Palo Alto Networks

MARCH 2, 2020

If existing security risks are not dealt with and roll over, mobile ISPs could be the first point of failure during a cyberattack, and vulnerabilities, such as unsecured IoT systems, could be amplified exponentially under 5G if not addressed at 4G. Navigating IoT will become a minefield for everyone.

IoT 54

IoT Wireless Cloud Policies 54

IDC

JULY 23, 2019

This post originally appeared on IDC’s UK Blog, and concentrates on European data. In contrast, spending on 3rd Platform technologies (cloud, mobility, Big Data, and social) and innovation accelerators is projected to soar by around 15% from 2019–2022. To see the original post, click here. They assume it is.

IoT 45

IoT Artificial Intelligence Artificial Inteligence Big Data 45

Palo Alto Networks

JANUARY 7, 2021

Our recent IoT security research report found more non-business devices are coming onto networks, with everything from connected teddy bears to medical devices and electric vehicles now needing to be secured alongside business IoT.

IoT 52

IoT Software Review Cloud Systems Review 52

Apiumhub

AUGUST 28, 2018

And today we will look at booming insurTech startups to keep an eye on in 2018. InsurTech startups to keep an eye on in 2018. It is a cloud-based big data analytics platform, built to improve data-driven decision making. Top business blogs to read. IOT projects that may change the world.

Insurance 95

Insurance Technical Review Artificial Inteligence Policies 95

Apiumhub

AUGUST 2, 2018

Smart Homes & IoT. IoT takes care of routine maintenance tasks, detecting malfunctions and defects before they become an inconvenience. By using data analytics and artificial intelligence , real estate owners can match supply and demand and have an opportunity to have predictive analysis and recommendations.

Real Estate 51

Real Estate Technical Review IoT VR 51

Cloudera

SEPTEMBER 12, 2018

. — Mike Barlow, author of “Learning to Love Data Science” (O’Reilly Media). And now, without further delay, we are excited to announce the winners of the 2018 Data Impact Awards, listed by award theme and category: Business Impact. Brian Buntz , Content Director, Iot Institute, Informa, @brian_buntz.

Artificial Inteligence 44

Artificial Inteligence Data Machine Learning Pharmaceuticals 44

Cloudera

MAY 10, 2018

Cloudera 2017 Data Impact Award Winners. We are excited to kick off the 2018 Data Impact Awards ! Since 2012, the Data Impact Awards have showcased how organizations are using Cloudera and the power of data to transform themselves and achieve dramatic results. Deadline to submit is July 20, 2018.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41

Apiumhub

JANUARY 10, 2019

Bonus Read: Tips And Tools For Analysing Big Data. #2. Also read: 10 E-commerce Trends To Watch Out For This Year 2018. #3. Top business blogs to read. IOT projects that may change the world. Voice-enabled Powerful Applications. CRM: Lead Generation and Scoring. Smart city projects and leaders to keep an eye on .

Artificial Inteligence 51

Artificial Inteligence Trends Artificial Intelligence Machine Learning 51

Mobilunity

APRIL 22, 2021

In 2018 there were about 92.7 The spheres that are in the most demand of experts are AI, IoT, and Big Data. Other technologies that are in high demand for Germany nearshoring software development are: Python; Data Storage, Architecture, and Analysis; Cyber Security; CRM solutions; Machine Learning; DevOps.

Technical Review 52

Technical Review PHP Software Review .Net 52

BPM

JANUARY 18, 2019

As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events. In 2019, the need for actions at the edge of process reach will push intelligent and dynamic actions in and around mostly IoT enabled work. 2019, oh my!

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Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

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

Apiumhub

JULY 5, 2018

2018 is a year full of surprises and we have seen progress and changes occurring in e-commerce, too. Today, companies like Alibaba, Rakuten, eBay, and Amazon are using Al for fake reviews detection, chatbots, product recommendations, managing big data, etc. Top business blogs to read. Human-centered innovation.

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Artificial Inteligence Artificial Intelligence Case Study eCommerce 66

Coforge

AUGUST 20, 2019

Challenges Tied to Big Data. The airline industry in particular is also privy to significant amounts of data generated through new age technologies such as Internet of Things (IoT). Compromising this data during a cyber-attack poses several challenges to airlines. This is why the alarm bells are ringing!

Airlines 8

Airlines Industry Blockchain Travel 8

Cloudera

OCTOBER 3, 2018

In 2008, I co-founded Cloudera with folks from Google, Facebook, and Yahoo to deliver a big data platform built on Hadoop to the enterprise market. We believed then, and we still believe today, that the rest of the world would need to capture, store, manage and analyze data at massive scale. Their current workloads are safe.

Software Review 75

Software Review Open Source Technical Review IoT 75

Cloudera

NOVEMBER 9, 2018

IoT opens doors to threats. Frost & Sullivan estimates that Asia Pacific will spend US$59 billion on the Internet of Things (IoT) by 2020, up from the US$10.4 The rise of IoT malware. Realizing IoT devices’ weakness, cybercriminals have been developing more malware designed specifically to exploit those devices.

Data 56

Data IoT Malware Machine Learning 56