CIO

JUNE 7, 2022

Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. In business, predictive analytics uses machine learning, business rules, and algorithms.

Analytics 203

Analytics Data Analysis Business Analytics 203

CTOvision

JULY 13, 2016

Data breaches are happening with alarming regularity as organizations of all types struggle to manage the ever evolving threats that are out there. According to the 2015 Verizon Data Breach Investigations Report, 85 percent of data breaches go undetected. Big data can also be used in machine learning techniques.

Big Data 67

Big Data Data Artificial Inteligence Machine Learning 67

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). In multi-task learning, the goal is to consider fitting separate but related models simultaneously. It’s time for data ethics conversations at your dinner table”.

Analytics 186

Analytics Artificial Inteligence Data Machine Learning 186

CTOvision

AUGUST 7, 2015

And of course, a packed events lineup including the famous Data After Dark party. Strata + Hadoop World in New York sold out last year with more than 5,500 attendees. Strata + Hadoop World sells out every time. CTOVision subscribers save 20% on top of Best Price with code CTOV Register Here.

Case Study 112

Case Study Big Data Artificial Inteligence Machine Learning 112

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. Mobileye’s market cap was about $10.5

Technical Review 211

Technical Review Automotive Marketing Systems Review 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 Artificial Inteligence Machine Learning 117

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 Artificial Inteligence Machine Learning 111

O'Reilly Media - Data

APRIL 17, 2018

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. Where it all started: Hortonworks’ partnership page.

B2B 191

B2B Artificial Inteligence Analytics Big Data 191

Apiumhub

APRIL 8, 2021

Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. Ben Lorica is the Chief Data Scientist at O’Reilly Media.

Artificial Inteligence 110

Artificial Inteligence Technical Advisors Data Machine Learning 110

CTOvision

NOVEMBER 2, 2015

Tamr is a machine-learning assistant. Bring your company's 'dark data' to light with this free new tool from Tamr (pcworld.com). Michael Stonebraker of Tamr - MIT CDOIQ Symposium 2015 - theCUBE (ctovision.com). The answer is Tamr. Tamr makes mapping and linking easier.

Artificial Inteligence 120

Artificial Inteligence Machine Learning Video Retail 120

TechCrunch

MAY 21, 2021

There are still many inefficiencies in managing M&A, but technologies such as artificial intelligence, especially machine learning, are helping to make the process faster and easier. The London-based company, founded in 2015, joined the ranks of EV companies going public via SPAC, merging with blank-check company CIIG Merger Corp.

Marketing 244

Marketing Technical Review Software Review Windows 244

O'Reilly Media - Data

FEBRUARY 28, 2018

Of course, this isn’t “big data” by any measure, but more realistic than a toy/debugging scenario. times faster on a 75 MB data set, taking about half the time to complete (roughly five versus nine minutes). spaCy is highly optimized for single-machine execution. Spark-NLP was 1.6 Runtime performance comparison.

Scalability 222

Scalability Performance Comparison Training 222

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 Artificial Inteligence Machine Learning Analytics 54

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 Artificial Inteligence 81

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 Artificial Inteligence Machine Learning Technical Review 81

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. PepsiCo: Data analysis for smarter supply chain management.

Transportation 19

Transportation IoT Blockchain Retail 19

O'Reilly Media - Ideas

JANUARY 17, 2019

In addition to maintaining its position as the most popular introductory language for students, scientists, and knowledge workers, Python will continue its widespread adoption in web development, DevOps, data analysis, and machine learning circles.

Microservices 111

Microservices Big Data Programming Applications 111

Altexsoft

MAY 20, 2020

The growth in connected devices over the 2015-2025 decade. Vetted messages are processed by the Rules Engine which routes them either to a device or cloud AWS service — like AWS Lambda (a serverless computing platform), Amazon Kinesis (a solution for processing big data in real time), Amazon S3 (a storage service), to name a few.

IoT 141

IoT Azure AWS Transportation 141

CTOvision

JANUARY 23, 2015

By 2010 I could look ahead (“ Playing with virtual data in spatial reality “) and see clearly where we are heading based on trends: We’re further along in this area than I thought we’d be five years ago, and I suspect we’ll be similarly surprised by 2015.

VR 122

VR 3D Government Virtualization 122

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 Malware Machine Learning 62

AWS Machine Learning - AI

NOVEMBER 24, 2023

The SnapLogic Intelligent Integration Platform (IIP) enables organizations to realize enterprise-wide automation by connecting their entire ecosystem of applications, databases, big data, machines and devices, APIs, and more with pre-built, intelligent connectors called Snaps. Sandeep holds an MSc.

Artificial Inteligence 114

Artificial Inteligence Applications Generative AI AWS 114

Apiumhub

JULY 16, 2019

In 2014 she became a Java Champion, and she is a 2015 MongoDB Master. Adi Polak is an experienced Software Engineer with a demonstrated history of working in the big data industry. Skilled in Java, Scala, Big Data, Machine Learning, and Software Design. LinkedIn. . 13 – Iris Classon.

Software Development 111

Software Development Software Review Technical Review Software 111

Altexsoft

FEBRUARY 10, 2021

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. What is DataOps: brief introduction. DataOps vs MLOps.

Analytics 75

Analytics DevOps Development Software Review 75

Lacework

JANUARY 19, 2023

In the 1990s, the Defense Advanced Research Projects Agency (DARPA) started to work on how machine learning could improve the technology. But things gained steam after 2010 as increased computing power allowed companies to capture and crunch more and more data from their operations. In other words, more data means more security.

Security 52

Security Artificial Inteligence Machine Learning Big Data 52

AWS Machine Learning - AI

OCTOBER 23, 2024

At its core, Amazon Bedrock provides the foundational infrastructure for robust performance, security, and scalability for deploying machine learning (ML) models. Dhawal Patel is a Principal Machine Learning Architect at AWS. He currently is working on Generative AI for data integration.

Generative AI 87

Generative AI Artificial Inteligence Enterprise AWS 87

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 Artificial Inteligence Machine Learning Mobile 50

Datavail

JUNE 4, 2019

The adoption of big data analysis capabilities is soaring in the enterprise, according to Forbes. In 2015, just 17% of enterprises had advanced analytics solutions in place. According to Microsoft, a Data Warehouse is still the right choice if your organization is aggregating data from multiple sources for OLAP or OLTP.

Analytics 40

Analytics Big Data Analysis Open Source 40

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 15

Artificial Inteligence Blockchain Architecture Artificial Intelligence 15

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

Planbox

MAY 12, 2020

This is the fourth acquisition for Planbox since 2015 as it continues to develop and lead with the most comprehensive agile innovation management solution in the market. WILMINGTON, Del., The world is facing unprecedented social, technological and global disruption which has caused massive turbulence and great challenges across all sectors.

Innovation 68

Innovation Network Technical Review Artificial Inteligence 68

CTOvision

DECEMBER 30, 2015

AI and related disciplines like Machine Learning are enabling computers to assist humans in performance of their jobs now, and with AI being coupled with incredibly low cost cloud computing we see rapid development of capabilities continuing. Expect 2 Billion smart phones in the world in 2016. And a final note: . Bob Gourley.

Technical Review 62

Technical Review Trends Report Enterprise 62

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 78

ChatGPT Government Artificial Inteligence Business Intelligence 78

Openxcell

MARCH 27, 2025

Expertise & Innovation: Companies with leading AI capabilities, such as machine learning, natural language processing, and computer vision with robust AI solutions. The company offers Python development , computer vision, chatbot development, and data science/ big data services to businesses.

Artificial Inteligence 40

Artificial Inteligence Artificial Intelligence Innovation Company 40

Capgemini

NOVEMBER 23, 2022

In 2015, the United Nations (UN) and its member states defined a collection of 17 global goals designed to be a “blueprint for achieving a better and more sustainable future for all.” We believe quantum technology could be a crucial tool for creating a step change in our approach to sustainability. Conclusion: A plea for consideration.

Sustainability 52

Sustainability Technical Review Technology Artificial Inteligence 52

Altexsoft

SEPTEMBER 23, 2020

In 2015, a precision medicine effort was launched by Obama’s administration in form of the Precision Medicine Initiative – a research movement in the US aimed to change how we approach disease prevention and treatment. There have been advances in developing machine learning algorithms for diagnostics.

Healthcare 64

Healthcare Analytics Technical Review Software Review 64

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. SAP Migration 101: What You Need to Know. What is SAP S/4HANA?

Systems Review 52

Systems Review Cloud Enterprise Azure 52

Apiumhub

JULY 5, 2018

Today, companies like Alibaba, Rakuten, eBay, and Amazon are using Al for fake reviews detection, chatbots, product recommendations, managing big data, etc. Now, let’s go over some interesting data from a recent Ubisend report : • 1 out of 5 consumers is willing to purchase goods from a chatbot. • As we see, it helps!

Artificial Inteligence 67

Artificial Inteligence Artificial Intelligence Case Study eCommerce 67