TechCrunch

APRIL 27, 2021

. “Tellius is an AI-driven decision intelligence platform, and what we do is we combine machine learning — AI-driven automation — with a Google-like natural language interface, so combining the left brain and the right brain to enable business teams to get insights on the data,” Khanna told me.

Artificial Inteligence 212

Artificial Inteligence Tools Machine Learning Data 212

TechCrunch

AUGUST 18, 2022

Sofy was co-launched in 2016 by Hamid, Hyder Ali and Usman Zubair. “The time is right with advancements in machine learning and AI to evolve to a modern no-code testing process and intelligent automation.” Prior to it, Syed was an engineering leader at Microsoft for nearly two decades.

Mobile 232

Mobile Testing Artificial Inteligence Machine Learning 232

TechCrunch

MARCH 9, 2021

A group of former Microsoft executives and engineers — Anoop Gupta , Aravind Bala , John Tippett , Vikas Manocha — founded SeekOut in 2016. Over the years, SeekOut has built out a database with hundreds of millions of profiles using its AI-powered talent search engine and “deep interactive analytics.”

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Meeting Recruiting Pharmaceuticals Artificial Inteligence 299

TechCrunch

SEPTEMBER 23, 2021

Ocrolus uses a combination of technology, including OCR (optical character recognition), machine learning/AI and big data to analyze financial documents. Ocrolus has emerged as one of the pillars of the fintech ecosystem and is solving for these challenges using OCR, AI/ML, and big data/analytics,” he wrote via email. “We

Fintech 243

Fintech Banking Artificial Inteligence Machine Learning 243

CIO

OCTOBER 11, 2022

Our ambition is finding a way to take these amazing capabilities we’ve built in different areas and connect them, using AI and machine learning, to drive huge scale across the ecosystem,” Kaur said. We have reduced the lead time to start a machine learning project from months to hours,” Kaur said.

Artificial Inteligence 217

Artificial Inteligence Machine Learning Games Data 217

TechCrunch

APRIL 13, 2021

Framed Data, a predictive analytics company, was acquired by Square in 2016. He worked as Square Capital’s head of data science before becoming an entrepreneur-in-residence at Kleiner Perkins in 2018, focusing on fintech and machine learning problems. Hatch draws on Nguyen’s professional and personal backgrounds.

Small Business 246

Small Business Banking Artificial Inteligence Machine Learning 246

TechCrunch

APRIL 29, 2022

CEO Marlow Nickell founded Austin-based Clerk in 2016, and while he saw Amazon and Walmart plowing ahead in the marketing and product merchandising spaces, he saw a need from the rest of the space that didn’t have the capacity to innovate there. Cooler Screens raises $80M to bring interactive screens into cooler aisles.

Retail 221

Retail Advertising Artificial Inteligence Machine Learning 221

TechCrunch

DECEMBER 16, 2020

Pickupp was founded in December 2016 and began operating the next year. Pang told TechCrunch that the round will be used to add more services, and invest in machine learning, predictive analytics and understanding customer purchasing behavior.

Software Engineering 223

Software Engineering Artificial Inteligence Machine Learning Retail 223

TechCrunch

JANUARY 5, 2022

Founded in 2016, Brankas goal is to “democratize access to financial and identity data.” He also said that through Visa, Brankas enables open finance for all Visa partner banks in the region and is currently developing new solutions for payments, identity and data analytics.

Fintech 244

Fintech Banking Artificial Inteligence Machine Learning 244

CIO

OCTOBER 21, 2022

Chipotle IT’s secret sauce Garner credits Chipotle’s wholly owned business model for enabling him to deploy advanced technologies such as the cloud, analytics, data lake, and AI uniformly to all restaurants because they are all based on the same digital backbone. Analytics, Artificial Intelligence, Cloud Computing, Digital Transformation

Cloud 218

Cloud Artificial Inteligence Azure Artificial Intelligence 218

Altexsoft

OCTOBER 3, 2019

potential talent is becoming much more “efficient” in many firms, top talent is becoming simultaneously more expensive and more easily lost to competitors,” stresses professor of workforce analytics Mark Huselid in The science and practice of workforce analytics: Introduction to the HRM special issue. . What is people and HR analytics?

Analytics 16

Analytics Company Off-The-Shelf How To 16

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. It’ll certainly need a substantial war chest to compete in the growing market for data analytics products. Unsupervised, Pecan.ai

Analytics 207

Analytics Big Data Enterprise Automotive 207

O'Reilly Media - Data

MARCH 22, 2018

Over the years, machine learning (ML) has come a long way, from its existence as experimental research in a purely academic setting to wide industry adoption as a means for automating solutions to real-world problems. 2016, DeepFool and Goodfellow, et al., 2016, DeepFool and Goodfellow, et al., Introducing Skater.

Off-The-Shelf 173

Off-The-Shelf Artificial Inteligence Machine Learning Weak Development Team 173

TechCrunch

NOVEMBER 17, 2022

A 2016 whitepaper from the Association of Credit and Collection Professionals International found that debt rose from $150 billion to over $600 billion in the previous five years. The New York Fed’s study also showed that the share of current debt becoming delinquent climbed for nearly all debt types, from mortgages to auto loans.

Systems Review 199

Systems Review System Technical Review Artificial Inteligence 199

CIO

SEPTEMBER 18, 2024

Salesforce first launched Einstein in 2016 , but the AI platform has evolved and expanded to address many common business tasks for specific audiences in the years since, including sales and marketing, e-commerce, and other routine but vital corporate functions. “As

Generative AI 179

Generative AI 3D ChatGPT Cloud 179

CIO

JULY 23, 2023

Since the introduction of notable data privacy and human rights acts, like GDPR in 2016 and the CCPA in 2018, privacy regulations worldwide have continued to develop aggressively. Adopt continuous auditing and analytics Data must be monitored and governed throughout its entire lifecycle.

Government 148

Government Artificial Inteligence Data Compliance 148

Datavail

JUNE 4, 2019

The release of SQL Server 2016 offered a host of new features for organizations. The release also included several new analytical capabilities, including support for real-time operational analytics and integration of the R language. In 2015, just 17% of enterprises had advanced analytics solutions in place.

Analytics 40

Analytics Big Data Analysis Open Source 40

TechCrunch

AUGUST 22, 2022

The 2016-founded startup says its network is being used by over 25,000 organisations across 130+ countries to access and share information to support decision-making related to ESG goals — such vis-a-vis CO 2 emissions reductions or for responding to human rights concerns. .

Sustainability 208

Sustainability Data Development Team Review Technical Review 208

CIO

JULY 24, 2023

The country’s premier football division, LaLiga, is leveraging artificial intelligence and machine learning (ML) to deliver new insights to players and coaches, and to transform how fans enjoy and understand the game. Artificial Intelligence, Data Management, Innovation, IT Leadership, Machine Learning

Artificial Inteligence 147

Artificial Inteligence Sport Artificial Intelligence Coaching 147

O'Reilly Media - Data

AUGUST 16, 2018

For instance, JSON support and Table Valued predicates were added in the 2016 standard. Interfaces to graph databases, so that users can submit standard queries against graph databases and map the results to a tabular format, similar to the elegant JSON-to-relational mapping in the ANSI SQL 2016 standard for JSON. Benchmarks.

Big Data 193

Big Data Data Storage Azure 193

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 Artificial Inteligence Machine Learning Weak Development Team 90

TechCrunch

APRIL 22, 2022

In 2016, after observing the database hurdles that many of MagicStack’s clients were facing, Selivanov says that he and Pranskevichus realized the path forward was to become a product company. . “Our cloud database will track slow queries and suggest how to optimize the database layout or the queries.

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Fractional CTO Open Source Cloud Architecture 193

Altexsoft

FEBRUARY 26, 2019

In general, price forecasting is done by the means of descriptive and predictive analytics. Descriptive analytics. Descriptive analytics rely on statistical methods that include data collection, analysis, interpretation, and presentation of findings. In short, this analytics type helps to answer the question of what happened?

Real Estate 69

Real Estate Artificial Inteligence Machine Learning Hotels 69

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. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

OverOps

NOVEMBER 13, 2018

AIOps, at its core, is a data-driven practice of bridging resources and leveraging AI and machine learning to make predictions based on historical data. Machine learning and artificial intelligence are complex concepts. & more event analytics. It sounds like a new magical solution to resolving all errors ever!

Artificial Inteligence 145

Artificial Inteligence Tools Machine Learning Artificial Intelligence 145

Openxcell

APRIL 7, 2023

Machine Learning has noticed rapid growth—resulting in the creation of numerous tools and platforms for creating, evaluating, and deploying Machine Learning Models. The most popular Machine Learning tools have earned wide adoption in different industry settings and have active user and contributor groups.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Tools Open Source 52

Kentik

JULY 5, 2016

I’d like to welcome Cisco to the 2016 analytics party. For those of you who missed the news, Cisco just announced Tetration Analytics, a full rack appliance meant to collect sensor data from data center infrastructure and analyze it with Big Data and machine learning power. Compelling Business Case.

Analytics 40

Analytics Big Data Data Center WAN 40

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. AI and machine learning are becoming widely adopted in home appliances, automobiles, plant automation, and smart cities. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Machine Learning Data Center 86

TechBeacon

MARCH 13, 2019

Automation and analytics are transforming companies in every industry—and across the IT landscape—which is why the need for qualified data scientists is increasing. In fact, demand in 2016 was growing at about 12% per year, far outpacing the available supply, according to a report by the McKinsey Global Institute.

Data 100

Data Analytics Report Industry 100

OverOps

NOVEMBER 13, 2018

AIOps, at its core, is a data-driven practice of bridging resources and leveraging AI and machine learning to make predictions based on historical data. Machine learning and artificial intelligence are complex concepts. & more event analytics. It sounds like a new magical solution to resolving all errors ever!

Artificial Inteligence 124

Artificial Inteligence Tools Machine Learning Artificial Intelligence 124

CTOvision

AUGUST 13, 2016

For an August 2016 update on how things are going see the video at this link and below: The power of the AWS cloud is now driving continuous advancements in Analytics, Artificial Intelligence and IoT. Others may use different definitions but Amazon is the 500lb gorilla so for this post at least we will say we agree!

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Artificial Inteligence Artificial Intelligence IoT AWS 64

O'Reilly Media - Ideas

JUNE 11, 2019

Over the past decade, AI and machine learning (ML) have become extremely active research areas: the web site arxiv.org had an average daily upload of around 100 machine learning papers in 2018. We continue to see improvements in tools for deep learning. A 2019 WIPO Study details AI patent filings by area.

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Artificial Inteligence Tools Machine Learning Open Source 111

IDC

NOVEMBER 25, 2019

I first came across this idea of data intelligence in 2016 when I was part of a webinar with ASG Technologies, who had started to use the term “Enterprise Data Intelligence” to refer to the suite of products they had for capturing and managing data lineage within an organization.

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Artificial Inteligence Data Artificial Intelligence Machine Learning 89

Altexsoft

JUNE 2, 2020

What Is Machine Learning and How Is it Used in Cybersecurity? Machine learning (ML) is the brain of the AI—a type of algorithm that enables computers to analyze data, learn from past experiences, and make decisions, in a way that resembles human behavior. Some can even automatically respond to threats.

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Artificial Inteligence Examples Applications Machine Learning 93

Cloudera

APRIL 27, 2022

One of the ways to accelerate time to insight is by performing analytics on real-time data. Data in motion consists of three distinct elements: data flow, message streams, and stream processing and analytics. . Around 2016, we started talking about data in motion within the context of an enterprise data platform.

Windows 99

Windows Data IoT Analytics 99

AWS Machine Learning - AI

JUNE 18, 2024

More than 170 tech teams used the latest cloud, machine learning and artificial intelligence technologies to build 33 solutions. Her current areas of interest include federated learning, distributed training, and generative AI. Venkat is a Technology Strategy Leader in Data, AI, ML, generative AI, and Advanced Analytics.

Generative AI 112

Generative AI Artificial Inteligence Technical Review AWS 112

Apiumhub

MAY 18, 2021

Last May 12th they interviewed our Lead Data Scientist at Apiumhub , Gema Parreño, who reviewed her professional career and her connection with artificial intelligence, machine learning, video games and data science projects. Irruption into technology. Technological projects and challenges.

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Artificial Inteligence Artificial Intelligence Technical Review Data 72