CIO

JANUARY 6, 2025

AI and Machine Learning will drive innovation across the government, healthcare, and banking/financial services sectors, strongly focusing on generative AI and ethical regulation. How do you foresee artificial intelligence and machine learning evolving in the region in 2025?

Trends 122

Trends Artificial Inteligence IoT Energy 122

OpenCredo

APRIL 20, 2021

Machine learning has great potential for many businesses, but the path from a Data Scientist creating an amazing algorithm on their laptop, to that code running and adding value in production, can be arduous. This typically requires retraining or otherwise updating the model with the fresh data. Monitoring. Why this blog post?

Artificial Inteligence 140

Artificial Inteligence Machine Learning Software Review Open Source 140

Github

JANUARY 24, 2019

In our 2018 Octoverse report, we noticed machine learning and data science were popular topics on GitHub. tensorflow/tensorflow was one of the most contributed to projects, pytorch/pytorch was one of the fastest growing projects, and Python was the third most popular language on GitHub. Popular machine learning projects.

Artificial Inteligence 112

Artificial Inteligence Machine Learning Software Review Systems Review 112

AWS Machine Learning - AI

APRIL 1, 2025

AI agents extend large language models (LLMs) by interacting with external systems, executing complex workflows, and maintaining contextual awareness across operations. About the authors Mark Roy is a Principal Machine Learning Architect for AWS, helping customers design and build generative AI solutions.

Generative AI 129

Generative AI AWS Artificial Inteligence Software Review 129

TechCrunch

JULY 12, 2022

Machine learning can provide companies with a competitive advantage by using the data they’re collecting — for example, purchasing patterns — to generate predictions that power revenue-generating products (e.g. “Typical use cases for Tecton are machine learning applications that benefit from real-time inference.

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Artificial Inteligence Machine Learning Marketing Data Engineering 249

UruIT

AUGUST 22, 2019

Traditionally, Machine Learning (ML) and Deep Learning (DL) models were implemented within an application in a server-client fashion way. Due to this exciting new development in machine learning and deep learning, we figured it would be interesting to show you how you can use Tensorflow.js

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Artificial Inteligence Machine Learning Software Review Video 22

TechCrunch

AUGUST 17, 2021

MOLOCO , an adtech startup that uses machine learning to build mobile campaigns, announced today it has raised $150 million in new Series C funding led by Tiger Global Management, taking its valuation to $1.5 Before launching MOLOCO, Ahn was a machine learning engineer at YouTube from 2008 to 2010, then Android from 2010 to 2013.

Machine Learning 248

Machine Learning Artificial Inteligence Advertising Mobile 248

TechCrunch

DECEMBER 22, 2020

Conti acknowledged that there’s other discount-optimizing software out there, but he suggested none of them offers what Bandit ML does: “off the shelf tools that use machine learning the way giants like Uber, Amazon and Walmart do.”

Off-The-Shelf 299

Off-The-Shelf Machine Learning Artificial Inteligence .Net 299

TechCrunch

JUNE 8, 2021

Autonomous vehicle startups that exist today use a combination of artificial intelligence algorithms and sensors to handle the tasks of driving that humans do, such as detecting and understanding objects and making decisions based on that information to safely navigate a lonely road or a crowded highway.

Artificial Inteligence 253

Artificial Inteligence .Net Technology Artificial Intelligence 253

TechCrunch

MAY 10, 2022

“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. “Given these challenges, organizations today need to choose between two flawed approaches when it comes to developing machine learning. .

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Artificial Inteligence Machine Learning Off-The-Shelf Training 235

TechCrunch

JUNE 4, 2021

SentinelOne, a late-stage security startup that helps organizations secure their data using AI and machine learning, has filed for an IPO on the New York Stock Exchange ( NYSE ). Despite this pandemic-fueled growth, SentinelOne’s net losses more than doubled from $26.6 million in 2020 to $62.6

.Net 274

.Net Artificial Inteligence Machine Learning Government 274

TechCrunch

AUGUST 23, 2021

Hiring folks in the worlds of machine learning and data science is very expensive. And because the company wants to scale those hires quickly, it will need a large bank balance to lean on. Per Perrotta, Shelf has 130% net dollar retention and no churn to report, meaning its customers are both sticky and expand organically.

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Artificial Inteligence Machine Learning .Net Training 246

CIO

JUNE 11, 2024

Pegasystems has announced plans to expand the capabilities of its Pega GenAI enterprise platform by connecting to both Amazon Web Services (AWS) and Google Cloud large language models (LLMs).

Artificial Inteligence 179

Artificial Inteligence Generative AI Google Cloud AWS 179

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. This will serve as a safety net for the business.

Artificial Inteligence 165

Artificial Inteligence Artificial Intelligence Machine Learning Strategic Planning 165

UruIT

AUGUST 22, 2019

Traditionally, Machine Learning (ML) and Deep Learning (DL) models were implemented within an application in a server-client fashion way. Due to this exciting new development in machine learning and deep learning, we figured it would be interesting to show you how you can use Tensorflow.js

Artificial Inteligence 85

Artificial Inteligence Machine Learning Video Software Review 85

TechCrunch

AUGUST 18, 2022

“The time is right with advancements in machine learning and AI to evolve to a modern no-code testing process and intelligent automation.” ” But Hamid pitches them as a net good because, in his eyes, they can lead to faster release cycles.

Mobile 232

Mobile Testing Artificial Inteligence Machine Learning 232

CIO

AUGUST 19, 2024

In such systems, multiple agents execute tasks intended to achieve an overarching goal, such as automating payroll, HR processes, and even software development, based on text, images, audio, and video from large language models (LLMs).

Generative AI 215

Generative AI Artificial Inteligence Organization Technical Review 215

DataRobot

APRIL 22, 2022

In our previous post , we talked about how red AI means adding computational power to “buy” more accurate models in machine learning , and especially in deep learning. We covered different ways of measuring model efficiency and showed ways to visualize this and select models based on it.

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Artificial Inteligence Machine Learning Energy Resources 98

CIO

APRIL 25, 2024

This transition has propelled AI and machine learning to the forefront, with 51% of CIOs identifying these technologies as among their most urgent priorities, alongside cybersecurity, highlighting their crucial role in driving organizational success. Artificial Intelligence

Survey 205

Survey Technical Review Artificial Inteligence Machine Learning 205

CIO

JUNE 7, 2024

based company, which claims to be the top-ranked supplier of renewable energy sales to corporations, turned to machine learning to help forecast renewable asset output, while establishing an automation framework for streamlining the company’s operations in servicing the renewable energy market. To achieve that, the Arlington, Va.-based

Energy 193

Energy Sustainability Artificial Inteligence Machine Learning 193

AWS Machine Learning - AI

MARCH 10, 2025

Increase by 2% The question requires a deep understanding of physics, which most large language models (LLMs) today will fail at. Our goal with prompt optimization on Amazon Bedrock for reasoning models is to reduce the number of thinking tokens but not sacrifice accuracy. So yes, each day the net is -3.nnBut

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Artificial Inteligence .Net Generative AI Budget 76

CIO

MAY 5, 2023

Data is the core of everything we’re doing because it feeds our machine learning algorithm that feeds our AI capability,” he says. Artificial Intelligence, CIO 100, Digital Transformation As a Microsoft Azure shop, CarMax relies on Azure Data Lake, an essential component of the company’s AI output, the CIO notes.

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Artificial Inteligence Azure Technical Review Generative AI 218

CIO

DECEMBER 13, 2023

Industrializing Machine Learning – A rapidly evolving ecosystem of software and hardware solutions accelerates and de-risks the development, deployment, and maintenance of machine learning solutions.

Generative AI 179

Generative AI Trends Machine Learning Artificial Inteligence 179

N2Growth Blog

OCTOBER 25, 2024

Aided by cutting-edge technologies like machine learning and advanced analytics, its recruitment process identifies ideal candidates with unprecedented accuracy. With a remarkable Net Promoter Score of 92, N2Growth demonstrates an unwavering commitment to client satisfaction, consistently delivering impactful leadership solutions.

Recruiting 149

Recruiting Artificial Inteligence Culture Leadership 149

Cloudera

DECEMBER 7, 2022

The data innovation that I was most excited to learn about though is the implementation of a human-in-the-loop (HITL) machine learning (ML) solution to assist referees in more accurately calling offsides. What is human-in-the-loop machine learning? A world-class machine learning solution.

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Artificial Inteligence Machine Learning Systems Review Technical Review 73

Altexsoft

JULY 27, 2021

And what does machine learning have to do with it? In this article, we’re taking you down the road of machine learning-based personalization. You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Model-based.

Artificial Inteligence 76

Artificial Inteligence Machine Learning Systems Review System 76

Altexsoft

APRIL 13, 2021

Customer satisfaction score (CSAT) and Net Promoter Score (NPS) are the most important metrics for any insurance company. But it does need more advanced approaches that mimic human perception and judgment like AI, Machine Learning, and ML-based Robotic Process Automation. Hire machine learning specialists on the team.

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Artificial Inteligence Machine Learning Insurance Technical Review 87

TechCrunch

MAY 24, 2022

It also uses machine learning to predict spikes and troughs in carbon intensity, allowing customers to time their energy use to trim their carbon footprints. million customers in New England, has an aggressive target of reaching net-zero carbon emissions by 2030. His company, which serves 4.4

Energy 209

Energy Artificial Inteligence Machine Learning Storage 209

Xebia

JULY 19, 2023

Artificial Intelligence (AI) systems are becoming ubiquitous: from self-driving cars to risk assessments to large language models (LLMs). Artificial Intelligence (AI) and Machine Learning (ML) systems are becoming ubiquitous: from self-driving cars to risk assessments to large language models (LLMs).

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Artificial Inteligence Systems Review System Testing 130

CIO

MARCH 26, 2025

Kopal has seen C-suite conversations around technology focus on digital transformation, leveraging data analytics, AI and machine learning to innovate in their business model, customer, and employee experience. Additionally, these CIOs have also seen the growing assent for sustainable practices.

CTO Coach 99

CTO Coach Technical Advisors IoT Sustainability 99

TechCrunch

APRIL 23, 2021

“I understood that there are so many edge cases that will not be solved purely by AI and machine learning, and there must be some kind of human-in-the-loop intervention,” Rosenzweig said in a recent interview. It was a technology that he soon recognized would need what every other mission-critical system requires: humans.

Off-The-Shelf 271

Off-The-Shelf Automotive Transportation Mobile 271

CIO

JULY 31, 2022

But most importantly, without strong connectivity, businesses can’t take advantage of the newest advancements in technology such as hybrid multi-cloud architecture, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML) and edge micro data centre deployment.

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Artificial Inteligence Strategy Artificial Intelligence Weak Development Team 147

TechCrunch

MAY 13, 2021

based startup Sylvera is using satellite, radar and lidar data-fuelled machine learning to bolster transparency around carbon offsetting projects in a bid to boost accountability and credibility — applying independent ratings to carbon offsetting projects. How exactly is Sylvera benchmarking carbon offsets?

Machine Learning 160

Machine Learning Artificial Inteligence .Net Sustainability 160

TechCrunch

JULY 7, 2021

As the startup has facilitated a huge volume of credit offering, it can also leverage past data for machine learning risk models. In 2021, the B2B offering represented 30% of Younited Credit’s net banking income. The company takes advantage of DSP2 regulation and open banking APIs to ingest data. billion in credit ($2.8

Fintech 227

Fintech Data Banking B2B 227

TechCrunch

JANUARY 25, 2022

based startup which uses machine learning technology to analyze a variety of visual data like satellite imagery and lidar with the goal of boosting accountability and credibility around carbon offsetting projects, has fast followed a $5.8 Sylvera , a U.K.-based million seed round in May last year by closing a $32 million Series A.

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Technical Review Airlines Machine Learning Artificial Inteligence 223

TechCrunch

FEBRUARY 6, 2023

In high school, he and his friends wired up the school’s computers for machine learning algorithm training, an experience that planted the seeds for Steinberger’s computer science degree and his job at Meta as an AI researcher.

Software Review 245

Software Review Artificial Inteligence Technical Review Software Engineering 245

CIO

SEPTEMBER 14, 2023

Additionally, Peterson says large language models (LLMs) are enabling Nasdaq to “create new kinds of intelligence reports for investors and corporate customers that leverage the company’s proprietary data sets and drive faster, more impactful content creation in Nasdaq’s marketing and communication teams.”

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Artificial Inteligence Weak Development Team Generative AI Banking 174