TechCrunch

JANUARY 10, 2023

In partnership with AiFi , a startup that aims to enable retailers to deploy autonomous shopping tech cost-effectively, Microsoft today launched a preview of a cloud service called Smart Store Analytics. It might sound like a lot of personal data Smart Store Analytics is collecting. The average Go store generates an estimated $1.5

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CIO

NOVEMBER 1, 2024

Paul Beswick, CIO of Marsh McLellan, served as a general strategy consultant for most of his 23 years at the firm but was tapped in 2019 to relaunch the risk, insurance, and consulting services powerhouse’s global digital practice. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

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Generative AI Technical Advisors Insurance Weak Development Team 263

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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TechCrunch

APRIL 7, 2021

Retail analytics unicorn Trax expects that this openness to tech innovation will continue even after the pandemic. Trax did not disclose a new valuation, but reportedly hit unicorn status in 2019. Other tech companies focused on retail analytics include Quant Retail, Pensa Systems and Bossa Nova Robotics.

Retail 186

Retail Analytics Company IoT 186

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.

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

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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Artificial Inteligence Machine Learning B2C Retail 347

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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Data Artificial Inteligence Machine Learning Architecture 204

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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Enterprise Artificial Inteligence Retail Machine Learning 277

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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Conference Data Artificial Inteligence Machine Learning 143

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

Energy 244

Energy Data Sustainability Artificial Inteligence 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.

Marketing 221

Marketing Enterprise Artificial Inteligence Machine Learning 221

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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Part-Time VPE Analytics Artificial Inteligence Machine Learning 250

TechCrunch

MARCH 16, 2021

One company working to serve that need, Socure — which uses AI and machine learning to verify identities — announced Tuesday that it has raised $100 million in a Series D funding round at a $1.3 billion valuation. Given how much of our lives have shifted online, it’s no surprise that the U.S.

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TechCrunch

JANUARY 12, 2023

In a 2019 survey , NewVantage partners found that the percentage of firms identifying themselves as being data-driven declined in each of the past three years, with over half admitting that they’re not competing on data and analytics. .

B2B 245

B2B Company Metrics .Net 245

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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Trends Artificial Inteligence Data Center Machine Learning 86

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 Artificial Inteligence Machine Learning 233

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 Artificial Inteligence 40

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

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

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.

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System Artificial Inteligence Development Machine Learning 228

TechCrunch

JULY 12, 2022

SingleStore , a provider of databases for cloud and on-premises apps and analytical systems, today announced that it raised an additional $40 million, extending its Series F — which previously topped out at $82 million — to $116 million. The provider allows customers to run real-time transactions and analytics in a single database.

Storage 206

Storage Big Data Analytics Survey 206

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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Conference Data Artificial Inteligence Machine Learning 80

Altexsoft

MARCH 27, 2019

We’ll discuss collecting data about client relationship with a brand, characteristics of customer behavior that correlate the most with churn, and explore the logic behind selecting the best-performing machine learning models. billion in 2019. Identifying at-risk customers with machine learning: problem-solving at a glance.

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Artificial Inteligence Machine Learning Weak Development Team Windows 87

Altexsoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. Quoting a comment from the Reddit discussion , “Their [analytics engineers] job is to marry the technical requirements of the data stack with the business objectives”. What an analytics engineer is. Pretty much ??.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

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 Artificial Inteligence Machine Learning 89

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.

Analytics 49

Analytics Data Energy Trends 49

CIO

SEPTEMBER 2, 2022

What may not be as obvious is the company’s investments and activities in advanced analytics, digital manufacturing, electrification, intelligent products as well as autonomy and active safety, that are being applied in vehicles today and may one day be used by NASA as it returns to the moon with its planned sustained human exploration project.

Analytics 246

Analytics Culture Business Intelligence Innovation 246

CIO

SEPTEMBER 2, 2022

What may not be as obvious is the company’s investments and activities in advanced analytics, digital manufacturing, electrification, intelligent products as well as autonomy and active safety, that are being applied in vehicles today and may one day be used by NASA as it returns to the moon with its planned sustained human exploration project.

Analytics 246

Analytics Culture Business Intelligence Innovation 246

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 317

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.

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Banking B2C Fintech Artificial Inteligence 216

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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Open Source Weak Development Team Data Artificial Inteligence 203

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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Artificial Inteligence Research Machine Learning Artificial Intelligence 227

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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B2B Artificial Inteligence Machine Learning Open Source 252

BPM

JANUARY 18, 2019

In 2019, I expect RPA to plunge into the trough of disillusionment, though the appetite for automating business processes is far from satisfied. The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

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 Artificial Inteligence Machine Learning 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.

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Big Data Data Google Cloud Azure 71