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

CIO

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

ChatGPT 130

ChatGPT Government Artificial Inteligence Business Intelligence 130

Datavail

JUNE 4, 2019

Some of the new capabilities and enhancements included Stretch Databases, Always Encrypted, a Query Data Store, Dynamic Data Masking, and more. The release also included several new analytical capabilities, including support for real-time operational analytics and integration of the R language. R Services.

Analytics 40

Analytics Big Data Analysis Open Source 40

Cloudera

DECEMBER 14, 2022

In 2015, OCBC began a multi-phased initiative with Cloudera focused on giving customers access to its banking services through an easy, convenient user interface that delivered targeted and tailored products and services. The partnership has enabled OCBC to better store, manage and harness the power of our data.”.

Banking 81

Banking Strategy Data Machine Learning 81

TechCrunch

MARCH 8, 2022

The number of companies looking to exit is not small: Databricks (big data analytics, worth $38 billion ) is one such company. in August 2015, CNBC noted. Chime (consumer fintech, worth $25 billion ) is another. Instacart (on-demand grocery services, worth $39 billion ) is in there as well. billion when it was acquired.

Technical Review 211

Technical Review Automotive Systems Review Marketing 211

CTOvision

JUNE 15, 2015

BM Joins Spark Community, Plans to Educate More Than 1 Million Data Scientists. ARMONK, NY - 15 Jun 2015: IBM (NYSE:IBM) today announced a major commitment to Apache®Spark™, potentially the most important new open source project in a decade that is being defined by data. Spark Drives Business Transformation for IBM Clients.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Ruminations of a Programmer

DECEMBER 31, 2014

I look forward to 2015 as the year when randomized algorithms, probabilistic techniques and data structures become more pervasive and mainstream. The primary driving factors for this will be more and more prevalence of big data and the necessity to process them in near real time using minimal (or constant) memory bandwidth.

Data 54

Data Machine Learning Artificial Inteligence Analytics 54

Hu's Place - HitachiVantara

APRIL 11, 2019

Few Data Management Frameworks are Business Focused Data management has been around since the beginning of IT, and a lot of technology has been focused on big data deployments, governance, best practices, tools, etc. However, large data hubs over the last 25 years (e.g., What has changed since then?

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

CTOvision

NOVEMBER 13, 2015

The capstone event of SINET is their yearly innovation showcase in Washington DC , the last of which was held 3 and 4 Nov 2015. 2015 SINET 16 Innovators: Bayshore Networks, Inc. Data science for security data volume. Sqrrl Data, Inc. – The Big Data company that enables more powerful cyber security investigations.

Innovation 111

Innovation Network Machine Learning Artificial Inteligence 111

Altexsoft

JANUARY 26, 2021

Data Science vs Machine Learning vs AI vs Deep Learning vs Data Mining: Know the Differences. As data becomes the driving force of the modern world, pretty much everyone has stumbled upon such terms as data science, machine learning, artificial intelligence, deep learning, and data mining at some point.

Artificial Inteligence 98

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 98

O'Reilly Media - Data

APRIL 17, 2018

A failed analytics startup post-mortem. In January 2015, I set out to build an external representation of a market every bit as rich as those in the minds of leading executives driving successful companies; I founded an analytics startup called Relato —a startup that, unfortunately, did not succeed. Screenshot by Russell Jurney.

B2B 122

B2B Artificial Inteligence Analytics Big Data 122

Altexsoft

MAY 20, 2020

The growth in connected devices over the 2015-2025 decade. Source: IoT Analytics. Source: IoT Analytics. AWS IoT Analytics. The core intelligent solution, AWS IoT Analytics , automatically collects and cleans data before transmitting it to a time-series storage for further analysis. billion to 21.5

IoT 141

IoT Azure AWS Transportation 141

O'Reilly Media - Data

APRIL 3, 2018

Leveraging data can allow for surprising discoveries and innovations with the power to fundamentally alter society: from applying machine learning to cancer research to harnessing data to create “smart” cities, data science efforts are increasingly surfacing new insights—and new questions.

Artificial Inteligence 120

Artificial Inteligence Data Technical Review Artificial Intelligence 120

Altexsoft

SEPTEMBER 23, 2020

You don’t see it screaming at you from headlines, startups are not using it on the landing pages, and it’s slowly climbing up Garner’s Hype Cycle for Healthcare Providers , overpassed by medical IoT, Blockchain, and analytics. This can be data from surveys, tests, and wearables. Transparent data collection and sharing.

Healthcare 64

Healthcare Analytics Technical Review Software Review 64

Cloudera

AUGUST 6, 2018

For example, Crisis Text Line , which provides online support to people in crisis, received a total of 8 m illion text messages in the first two years of its existence between 2013 and 2015. There are legitimate concerns about the inherent biases of machine learning algorithms.

Data 50

Data Machine Learning Artificial Inteligence Mobile 50

Protera

JUNE 21, 2022

SAP S/4HANA is the software ERP system released by SAP in 2015 — the newest generation of SAP’s Business applications. Built on the SAP HANA in-memory database, S/4HANA enables companies to operate and access data in real time. Faster Data Processing. Real-time Analytics. SAP Migration 101: What You Need to Know.

Systems Review 52

Systems Review Cloud Enterprise Azure 52

Capgemini

JANUARY 28, 2019

A new digital core can optimize your mission-critical processes, create new capabilities to better understand and anticipate customer needs, and provide a foundation that lets you take advantage of emerging technologies such as big data, artificial intelligence (AI), and machine learning (ML).

Apparel 56

Apparel Fashion Artificial Inteligence Retail 56

Cloudera

MAY 16, 2018

All three cases require a “big picture” approach that incorporates new and alternative data sources and cross-functional collaboration throughout the organization not only to identify illegal activities, rogue traders, or personal misconduct but also to provide evidential material that demonstrates a deep understanding of the intent.

Analytics 42

Analytics Groups Enterprise Data 42

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT.

Azure 52

Azure AWS Cloud How To 52

Altexsoft

DECEMBER 16, 2019

strives to achieve these goals through automation by applying sensors, robotics, big data, Internet of Things technologies, and connecting all elements of the chain. Big Data & analytics. The collected data is usually used for better decision making. Supply Chain 4.0 Here are some of its key trends.

Transportation 19

Transportation IoT Blockchain Retail 19

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. Airflow is especially useful for orchestrating Big Data workflows.

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Xicom

MARCH 30, 2021

Clutching data about your potential clients helps you and your agents with direct interaction with the home buyers or who are going to see their property in the near future. And, in the second phase, back in 2015, 48% of all searches for the services in the real estate and property sector came from mobile devices. Revenue Management.

Real Estate 59

Real Estate Development Mobile Minimum Viable Product 59

Altexsoft

DECEMBER 8, 2022

Freightos Data – an analytical resource that publishes the Freightos Baltic Index (the industry’s key daily benchmark of container shipping prices) among other data products. SHIPNEXT founded in 2015 is a blockchain-driven cargo-to-ship matching platform that helps digitize the workflows related to chartering vessel capacity.

Transportation 52

Transportation Systems Review Software Review Technical Review 52

LeanEssays

JANUARY 21, 2016

Big Data 3. Amazon has consistently added software services on top of the hardware infrastructure – services like databases, analytics, access control, content delivery, containers, data streaming, and many others. The potential of Big Data is just beginning to be tapped. The Cloud 2. Antifragile Systems 4.

Software Review 55

Software Review Innovation Software Technical Advisors 55

O'Reilly Media - Ideas

JANUARY 18, 2022

Human consciousness may be a stretch, but causation is about to cause a revolution in how we use data. In an article in MIT Technology Review , Jeannette Wing says that “Causality…is the next frontier of AI and machine learning.”. Anderson’s thesis, although dressed up in the language of “big data,” isn’t novel.

Insurance 144

Insurance Testing Groups Research 144

O'Reilly Media - Ideas

MARCH 12, 2019

O’Reilly Radar is a process that assimilates signals and data to track, map, and name technology trends that impact many aspects of modern business and living. Radar has been looking at the Next Economy for the last five years, including running Next:Economy conferences in 2015 and 2016. Machine Learning / Artificial Intelligence.

Artificial Inteligence 10

Artificial Inteligence Blockchain Architecture Artificial Intelligence 10

CIO

MAY 7, 2024

When it broke onto the IT scene, Big Data was a big deal. Still, CIOs should not be too quick to consign the technologies and techniques touted during the honeymoon period (circa 2005-2015) of the Big Data Era to the dust bin of history. Data is the cement that paves the AI value road. Data is data.

Big Data 315

Big Data Artificial Inteligence Data Machine Learning 315

CTOvision

JANUARY 23, 2015

I worked at the Pentagon in the summer of 1985, having left my own state-of-the-art PC at home in Stanford, but my assigned “analytical tool” was a typewriter. Mark Zuckerberg at the time indicated patience and the long-view in his strategy, but industry watchers don’t expect a device release until late 2015 or 2016.

VR 122

VR 3D Government Virtualization 122