Newgen Software

JANUARY 16, 2019

The post Process Insights- Get Answers to Complex Business Questions appeared first on Newgen Software. Related posts: Actionable Insights from Big Data using ECM. Dynamic Case Management – A Fusion of BPM, ECM and Business Analytics. Big Data for Government Agencies.

Big Data 40

Big Data Business Analytics Healthcare Analytics 40

Capgemini

JUNE 3, 2020

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. In part one of this blog, I explained the cost of legacy systems.

Infrastructure 52

Infrastructure Data Retail Analytics 52

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. This is great for analysts!

Technical Review 99

Technical Review Analytics Technology Big Data 99

Actian

AUGUST 19, 2019

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. There are three primary reasons why companies move their IoT data to the cloud for processing.

IoT 45

IoT Cloud Data Analytics 45

Cloudera

APRIL 7, 2021

External Data/Big Data/Data Sharing. Data Privacy and Security Regulation. Data Monetization. To find out more about advancing the customer journey in insurance, read this paper written by Agile Insurance Analytics: Will My True Customer Please Stand Up?

Insurance 57

Insurance Analytics Exercises IoT 57

Altexsoft

FEBRUARY 3, 2020

The reason is simple – people and organizations produce massive amounts of information daily, but only the most agile companies make use of it to analyze consumer behavior and improve business outcomes. A study reveals that data-driven organizations are 23 times more likely to acquire customers than their less proactive competitors.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

FEBRUARY 8, 2021

Machine learning techniques analyze big data from various sources, identify hidden patterns and unobvious relationships between variables, and create complex models that can be retrained to automatically adapt to changing conditions. That, in turn, would drive business agility and accelerate decision-making on all levels.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Actian

AUGUST 19, 2019

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. There are three primary reasons why companies move their IoT data to the cloud for processing.

IoT 8

IoT Cloud Data Analytics 8

CTOvision

JULY 25, 2016

The Cyber Reconnaissance and Analytics service is powered by the Cray ® Urika ® -GX system – Cray’s new agile analytics platform that fuses the Company’s supercomputing technologies with an open, enterprise-ready software framework for big data analytics.

Technical Review 61

Technical Review Analytics Weak Development Team Big Data 61

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Data 118

Data Analytics Banking Big Data 118

Altexsoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization.

Virtualization 69

Virtualization Tools Data Architecture 69