TechCrunch

MAY 2, 2022

Businesses need machine learning here. ” Like several of its competitors, including Salt, Traceable uses AI to analyze data to learn normal app behavior and detect activity that deviates from the norm. .” To have zero trust you need API clarity. undocumented) and “orphaned” (e.g., ”

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Artificial Inteligence Machine Learning Technical Cofounder Cloud 234

TechCrunch

MAY 9, 2022

Business intelligence is an increasingly well-funded category in the software-as-a-service market. Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy. “In short, data teams in enterprise analytics are stuck in the past.

Analytics 215

Analytics Business Intelligence Software Review Business Analytics 215

TechCrunch

DECEMBER 13, 2022

Dataiku — which sells tools to help customers build, test and deploy AI and analytics applications — has managed to avoid major layoffs, unlike competitors such as DataRobot. We are on the cusp of a massive market transformation with AI at the heart of it — and we are ready to meet the moment.”

Analytics 191

Analytics Big Data Machine Learning Artificial Inteligence 191

CIO

FEBRUARY 13, 2024

The combination of the data along with machine learning models will aid enterprises in making faster decisions around global logistics, the company said in a statement. This enables application users to bid on spot market shipments, capture shipment actuals, and launch maps, Oracle said.

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Transportation Cloud Machine Learning Artificial Inteligence 303

O'Reilly Media - Data

JULY 18, 2018

In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle. Loss of access can also indirectly demonstrate how valuable data is: the impact of a data mishap on a company’s market cap is observable.

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Machine Learning Artificial Inteligence Data Marketing 137

TechCrunch

JULY 20, 2022

He says the new cash will be put toward R&D efforts, geographic and market growth, and launching as many as three new products within the next 12 to 18 months. Contentsquare remains focused on its original bread and butter, which is to say web and app analytics. In the U.S.

Analytics 235

Analytics Artificial Inteligence Technical Review Nonprofit 235

TechCrunch

JUNE 10, 2022

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. ” Salesforce’s early marketing focused on the problems of traditional sales software.

Marketing 221

Marketing Enterprise Artificial Inteligence Machine Learning 221

N2Growth Blog

APRIL 19, 2024

By utilizing machine learning to streamline processes and leveraging data analytics to gain a deeper understanding of customer behavior, digital tools provide innovative solutions to today’s economic challenges. It is the driving force behind the shift from traditional brick-and-mortar businesses to the virtual world.

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Artificial Inteligence Artificial Intelligence Strategic Planning Machine Learning 162

Altexsoft

FEBRUARY 5, 2020

As described by marketing consultant Mark Schaefer, the situation when humans can no longer consume an ever-growing amount of content is the content shock. Most marketing-centric content is perceived as an interruption to a customer-oriented experience. This changes the game for marketers. Source: Deloitte.

Machine Learning 110

Machine Learning Artificial Inteligence Marketing How To 110

Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is Machine Learning? Machine Learning delivers on this need.

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OTS Solutions

JUNE 20, 2019

Is AI and Machine learning impacting Enterprise Mobility? People are living in a digitalization era, where they use digital platforms for shopping and marketing as well. The introduction of machine learning and AI technologies has even attracted more attention to the enterprise application development process.

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Artificial Inteligence Machine Learning Mobile Enterprise 113

Perficient

MARCH 5, 2024

Today, we’re diving headfirst into the world of advanced reporting and analytics in Salesforce, with a special focus on leveraging Einstein Analytics to unlock the full potential of your data. Introducing Einstein Analytics So, what exactly is Einstein Analytics?

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Analytics Report Artificial Inteligence Artificial Intelligence 59

CIO

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

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Generative AI Company Machine Learning Artificial Inteligence 359

TechCrunch

AUGUST 17, 2021

Danggeun Market, the publisher of South Korea’s hyperlocal community app Karrot, announced it has raised $162 million in a Series D round of funding with a valuation of $2.7 The latest funding officially makes Danggeun Market a unicorn, with $205 million total raised. Danggeun Market launched Karrot in Canada and the U.S.

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Artificial Inteligence Marketing Artificial Intelligence Real Estate 250

CIO

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. Sound familiar?) It isn’t easy.

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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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Analytics Retail Sport Azure 241

CTOvision

JANUARY 1, 2019

Artificial Intelligence (AI) and machine learning show the potential to reduce the most time-consuming, manual tasks that keep sales teams away from spending more time with customers.

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Artificial Inteligence Machine Learning Artificial Intelligence Analytics 115

Datavail

MARCH 8, 2022

were unsuccessful in fulfilling their aspirations of implementing Machine Learning (ML) systems in 2021. Just as there’s no end to the number of potential business challenges every organization faces, neither is there an end to the analytic possibilities offered by unique ML models. There’s No Reason Not To.

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Machine Learning Artificial Inteligence Compliance Programming 97

TechCrunch

MAY 12, 2021

team, expand into global markets, and add products for new business segments. He previously held leadership roles at LexisNexis Risk Solutions, building data analytics solutions for property and casualty insurance carriers. Insurance data analytics platform Planck raises $16 million Series B.

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Insurance Analytics Data Technical Review 189

DevOps.com

MAY 27, 2019

DevOps teams seeking to step up their mojo in developing cutting-edge artificial intelligence (AI) features are facing a big skills bottleneck when it comes to data analytics and machine learning modeling. The post Are Self-Service Machine Learning Models the Future of AI Integration?

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Artificial Inteligence Machine Learning Artificial Intelligence DevOps 111

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

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Artificial Inteligence Machine Learning DevOps Tools 145

TechCrunch

APRIL 27, 2022

It will also be investing in sales and marketing to expand its customer base. Data is the backbone of the digital economy, but the market is experiencing a crisis of trust that restricts the ways in which data can be used,” said Nathan McKinley, VP of USAA corporate development, in a statement.

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Tools Machine Learning Artificial Inteligence Analytics 196

O'Reilly Media - Data

JULY 23, 2018

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

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Machine Learning Artificial Inteligence How To Case Study 120

TechCrunch

FEBRUARY 2, 2023

Years ago, Will Allred and William Ballance were developing a tech platform, Sorter, to apply personality and communication psychology to marketing campaigns. Just as Sorter was heading to market, the pandemic hit — and marketing budgets froze. “Lavender is well-capitalized to continue building in the current market.

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Marketing Engineering Generative AI Coaching 247

TechCrunch

JUNE 17, 2021

Without people, you don’t have a product,” says Joseph Ifiegbu, who is Snap’s former head of human resources technology and also previous lead of WeWork’s People Analytics team. Ifiegbu joined WeWork’s People Analytics team in 2017, when the company had a total of about 2,000 employees. This prompted them to start working on eqtble. “It

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Analytics Data Resources Recruiting 237

TechCrunch

MARCH 16, 2022

TruEra , a startup that offers an AI quality management solution to optimize, explain and monitor machine learning models, today announced that it has raised a $25 million Series B round led by Menlo Ventures. “If I were the machine learning data scientist, what would I want to use?

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CIO

NOVEMBER 8, 2023

The multinational operates in 80 countries, has a market capitalization of $18 billion, and employs roughly 20,000. The proof is in the implementation and replication of successful collaboration,” says Shuster, adding that the acquisition of Wells Fargo’s IRT business has given Principal relatively rapid access to market share.

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Technical Review Software Review Generative AI Machine Learning 310

TechCrunch

MARCH 31, 2022

In the pandemic era, when digital storefronts have become a matter of course for retailers, data analytics is proving its worth. Those advantages — as well as their ability to forecast inventory and measure the effectiveness of marketing campaigns — have driven predictive analytics software revenues to record heights.

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Artificial Inteligence Retail Machine Learning Analytics 232

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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Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

CIO

OCTOBER 16, 2023

According to Forrester , GenAI will have an average annual growth rate of 36% up to 2030, capturing 55% of the AI software market. Predictive AI utilizes machine learning algorithms to learn from historical data and identify patterns and relationships. Artificial Intelligence, Machine Learning

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Artificial Inteligence Artificial Intelligence Machine Learning Hardware 343

CIO

OCTOBER 4, 2023

This volatility can make it hard for IT workers to decide where to focus their career development efforts, but there are at least some areas of stability in the market: despite all other changes in pay premiums, workers with AI skills and security certifications continued to reap rich rewards.

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Security Artificial Inteligence Generative AI Blockchain 338

CIO

SEPTEMBER 26, 2023

Monterrey region to provide Telmex value-added services The new region in Mexico, in Monterrey, is part of Oracle’s distributed cloud strategy, under which the company provides a managed open source database service available across multiple clouds for transaction processing, analytics , and machine learning workloads.

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Cloud Strategy Generative AI Data Center 361

CIO

MARCH 18, 2024

As more businesses look to carve out an advantage in an increasingly competitive market, many are turning toward cloud computing—particularly hybrid cloud approaches that blend the power of the mainframe with the innovation of the cloud—to make the most of their data. Hybrid Cloud

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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 Machine Learning Artificial Inteligence Architecture 204

InfoBest

SEPTEMBER 19, 2021

Machine learning development. In the case of companies looking to improve their workflows and to become more digital it is usually machine learning development, a branch of A.I. Machine learning development, compared to more classic A.I., Machine learning development, compared to more classic A.I.,

Machine Learning 52

Machine Learning Artificial Inteligence Development Training 52

Harvard Business Review

APRIL 10, 2024

In today’s always-on environment, AI tools can help marketers optimize and personalize their campaigns quickly and efficiently. Impact-driving work requires both human ingenuity and machine speed — a combination marketers can’t fully embrace without daily practice. But AI alone won’t yield meaningful campaigns.

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Marketing Tools Machine Learning Artificial Inteligence 128

KitelyTech

JUNE 16, 2023

Companies increasingly work with big data to improve performance and dominate markets. To help your company grow, here is what you need to know about the types of big data analytics. What is Big Data Analytics? Big data analytics refers to the process of collecting, organizing, and analyzing massive data sets.

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