O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Machine Learning model lifecycle management. Deep Learning. Graph technologies and analytics. Data Platforms.

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CIO

FEBRUARY 15, 2024

As Henkel CDIO Michael Nilles puts it, by 2019, Marc Andreessen’s pronouncement that “software is eating the world” had come true for the CPG sector, and Henkel was at risk of falling behind. “We However, at the same time, SAP was working on a new feature for the SAP Analytics Cloud: Just Ask, which applies gen AI to search-driven analytics.

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TechCrunch

MAY 10, 2022

Data science teams are stymied by disorganization at their companies, impacting efforts to deploy timely AI and analytics projects. “The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization.

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Artificial Inteligence Machine Learning Off-The-Shelf Training 235

TechCrunch

FEBRUARY 2, 2022

RudderStack , a platform that focuses on helping businesses build their customer data platforms to improve their analytics and marketing efforts, today announced that it has raised a $56 million Series B round led by Insight Partners, with previous investors Kleiner Perkins and S28 Capital also participating.

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TechCrunch

MARCH 16, 2021

The company, which was founded in 2019 and counts Colgate and PepsiCo among its customers, currently focuses on e-commerce, retail and financial services, but it notes that it will use the new funding to power its product development and expand into new industries. ” Image Credits: Noogata.

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CIO

AUGUST 2, 2022

Data analytics and business intelligence are critical to every business, but especially important in the energy industry, as information is channeled from consumers and commercial clients related to usage that feeds into AES’ sustainability and services planning. Analytics, Data Management

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Energy Data Sustainability Machine Learning 244

TechCrunch

JUNE 10, 2022

In 2019, I led the sales team and growth strategy for a venture-backed AI company called atSpoke. In my role advising growth-stage enterprise tech companies as part of B Capital Group’s platform team, I observe similar dynamics across nearly every AI, ML and advanced predictive analytics companies I speak with.

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Marketing Enterprise Artificial Inteligence Machine Learning 221

O'Reilly Media - Data

SEPTEMBER 27, 2019

Cassie Kozyrkov offers actionable advice for taking advantage of machine learning, navigating the AI era, and staying safe as you innovate. Watch “ Staying safe in the AI era “ Recent trends in data and machine learning technologies.

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TechCrunch

OCTOBER 14, 2020

Namely Databricks , a data analytics company that was most recently valued at around $6.2 billion in its October, 2019 Series F when it raised $400 million. Normally I’d be content to wave my hands at data analytics and call it a day. Today we’re digging into a company that is a little bit bigger than that.

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CIO

OCTOBER 18, 2023

For instance, the company completed its conversion to a 100% Agile company in 2019, an achievement that reinforced its commitment to clients. So as a fundamental part of its goal to be data-driven, for example, the company is in the midst of implementing a platform that can host all analytical capabilities.

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Company Artificial Inteligence Insurance Technical Review 321

TechCrunch

JANUARY 11, 2023

It says it has served more than 80 million customers and issued 1 billion policies between 2019 and 2021, partnering with 40 companies to distribute products. . PasarPolis is able to scale because it uses machine learning and data analytics to make the underwriting and claims process faster and more cost-effective.

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Insurance Policies Machine Learning Artificial Inteligence 233

Hu's Place - HitachiVantara

JANUARY 3, 2019

Happy New Year and welcome to 2019, a year full of possibilities. Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted.

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TechCrunch

JUNE 30, 2022

Modular’s other co-founder, Tim Davis, is accomplished in his own right, having helped set the vision, strategy and roadmaps for Google machine learning products spanning small research groups to production systems. Image Credits: Modular.

System 228

System Artificial Inteligence Development Machine Learning 228

Datavail

JULY 12, 2019

Recently our Datavail Analytics team had the unique opportunity to attend the Oracle Analytics Summit at Skywalker Ranch in Marin County, CA. This exclusive, invitation-only event featured Oracle Analytics leaders with the plan to reveal their new vision for the Analytic product line. Oracle Analytics Cloud (OAC).

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Analytics Case Study Cloud Machine Learning 40

TechCrunch

APRIL 21, 2022

Some research — particularly from customer analytics vendors, unsurprisingly — suggests that personalization is a worthwhile investment. Yadav describes Jarvis ML as a fully managed “machine learning-as-a-service” solution designed to allow companies to quickly deploy a personalization engine to their products.

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Company Artificial Inteligence eCommerce Machine Learning 241

CIO

OCTOBER 5, 2023

Foundry’s CIO Tech Priorities 2023 found that IT leaders are investing in technologies that provide greater efficiencies, better security, and improved end-user experience, with most actively researching or piloting projects around artificial intelligence (AI) and machine learning, data analytics, automation, and IT/OT intelligence.

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Technical Review Engineering Technology Applications 318

O'Reilly Media - Ideas

MAY 1, 2019

Watch highlights from expert talks covering machine learning, predictive analytics, data regulation, and more. James Burke asks if we can use data and predictive analytics to take the guesswork out of prediction. Sustaining machine learning in the enterprise. Combining creativity and analytics.

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OTS Solutions

JUNE 3, 2022

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. The intelligence generated via Machine Learning. In addition, pharmaceutical businesses can generate more effective drugs and improve medical research and experimentation using machine learning.

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Healthcare Artificial Inteligence Trends Artificial Intelligence 345

TechCrunch

JUNE 6, 2022

And as digital banking — which includes the provision of loans — began to take off in the country, she told TechCrunch that she saw an opportunity to start Indicina in 2019 to provide credit rails and financial analytics tools for these businesses.

Banking 216

Banking B2C Fintech Machine Learning 216

O'Reilly Media - Ideas

MARCH 27, 2019

Watch highlights from expert talks covering AI, machine learning, data analytics, and more. Shafi Goldwasser explains why the next frontier of cryptography will help establish safe machine learning. Google BigQuery co-creator Jordan Tigani shares his vision for where cloud-scale data analytics is heading.

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Conference Data Machine Learning Artificial Inteligence 90

TIBCO - Connected Intelligence

FEBRUARY 16, 2021

Are you facing increased demand for analytics as you strive to become more data driven? With investment in robust analytics increasing in the face of uncertainty and rapidly changing markets, wouldn’t you like to know how other companies have successfully invested in analytics to manage an uncertain future? You’re not alone.

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Analytics Data Energy Trends 49

TechCrunch

MAY 18, 2022

“Coming from engineering and machine learning backgrounds, [Heartex’s founding team] knew what value machine learning and AI can bring to the organization,” Malyuk told TechCrunch via email. ” Software developers Malyuk, Maxim Tkachenko, and Nikolay Lyubimov co-founded Heartex in 2019.

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CIO

SEPTEMBER 10, 2022

Like many insights-driven organizations, the United States Patent and Trademark Office (USPTO) leverages data analytics and technologies such as AI and machine learning (ML) to increase the efficiency and performance of its operations and to improve the quality of systems and processes.

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TechCrunch

MARCH 15, 2021

million, funding that Xabi Uribe-Etxebarria, Sherpa’s founder and CEO, said it will be using to continue building out a privacy-focused machine learning platform based on a federated learning model alongside its existing conversational AI and search services. The company has closed $8.5

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TechCrunch

AUGUST 17, 2021

The funding proceeds from the new round will be used for further global expansion, business diversification, R&D, investment in advanced artificial intelligence and machine learning technology and recruiting team talent. in November 2019, currently operates the Karrot app in 72 local communities in four countries: the U.K.,

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O'Reilly Media - Data

NOVEMBER 25, 2019

In this interview from O’Reilly Foo Camp 2019, Dean Wampler, head of evangelism at Anyscale.io, talks about moving AI and machine learning into real-time production environments. In some cases, AI and machine learning technologies are being used to improve existing processes, rather than solving new problems.

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TechCrunch

SEPTEMBER 8, 2022

But a particular category of startup stood out: those applying AI and machine learning to solve problems, especially for business-to-business clients. billion in 2019. This year had only 14 such startups compared to 20 last year, which makes sense as the overall cohort is also smaller.

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Artificial Inteligence Machine Learning Quality Assurance Software Engineering 228

Cloudera

FEBRUARY 11, 2019

The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market. We recognize the following takeaways from Gartner’s 2019 MQ DMSA: 1. Cloudera’s 3 Key Takeaways.

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Analytics Data Machine Learning Artificial Inteligence 43

Agile Engine

FEBRUARY 20, 2019

Data certainly was all over the place in 2018 so let’s see how the market has changed and what to expect in 2019 and beyond. Data has reached the late majority of adopters in 2017–2018, a trend that persists in 2019. Trend 2: Machine Learning is the New Black. Stream analytics. Azure Stream Analytics.

Big Data 71

Big Data Google Cloud Data Azure 71

Tenable

APRIL 30, 2020

How do VPR and CVSS compare when assessing the most dangerous CVEs in 2019? For this analysis, we examine the most dangerous CVEs of 2019 based on publications by Recorded Future, SonicWall and Verint. First, a quick note on the industry reports: Recorded Future applies analytics algorithms to a variety of web-based threat content.

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Trends Technical Review Report Software Review 98

TechCrunch

MARCH 21, 2022

The CEO is Guru Hariharan, who you might remember from retail analytics company Boomerang Commerce , a Startup Battlefield finalist in 2014. He exited the company to Lowe’s in 2019. I left to start the company to focus on building the sell side of the equation for brands to sell and interface with retailers on the buy side.”.

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Infrastructure Retail Artificial Inteligence Machine Learning 223

TechCrunch

FEBRUARY 16, 2022

He later joined a machine learning team at Google, thanks to his mathematics background. As part of this process, it uses machine learning to try to also analyze the scene in order to suggest other relevant items that can be added. Since launching in late 2019, Voila has signed up over 10,000 creators to its service.

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Altexsoft

APRIL 4, 2024

This ranking by the Financial Times and Statista highlights the top 500 companies from the Americas that have achieved the highest compound annual growth in revenues between 2019 and 2022. The list of The Americas’ Fastest Growing Companies showcases the top 500 enterprises between 2019 and 2022.

Company 52

Company Travel Machine Learning Artificial Inteligence 52

Cloudera

MARCH 13, 2019

Data Heroes design modern data architectures that work across hybrid and multi-cloud, and solve complex data management and analytic use cases that span from the Edge to AI. . Mr Price – Uses HDP for business efficiency, creating a market differentiator with the use of analytics. The post Introducing the 2019 Data Heroes – EMEA!

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Trigent

APRIL 27, 2022

Hartford HealthCare, a comprehensive and integrated healthcare system serving more than 17,000 people daily across its 400 locations, recently announced its decision to launch a novel research initiative with Ibex Medical Analytics. It paves the path for analytics.

Healthcare 52

Healthcare Analytics Artificial Inteligence Artificial Intelligence 52

Datavail

DECEMBER 7, 2023

The Datavail team wrapped up the first in-person InFocus event since 2019, an incredible week of collaborating, connecting and innovating with new and longtime #JDEdwards friends back in Denver, Colorado! Release 22 and Release 23 started this journey by utilizing machine learning for data aggregations.

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Cloudera

FEBRUARY 8, 2021

billion in 2019, and is projected to reach $225.16 In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. billion by 2027, registering a CAGR of 17.1% from 2020 to 2027.

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