CIO

JANUARY 12, 2024

First and foremost is generative AI, which has shaken up nearly every aspect of enterprise IT, but is having a profound impact on customer-facing applications. First and foremost is generative AI, which has shaken up nearly every aspect of enterprise IT, but is having a profound impact on customer-facing applications.

Trends 307

Trends Artificial Inteligence Generative AI Off-The-Shelf 307

Altexsoft

MAY 5, 2023

This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making. The key terms that everyone should know within the spectrum of artificial intelligence are machine learning, deep learning, computer vision , and natural language processing.

Artificial Inteligence 59

Artificial Inteligence Machine Learning Technical Review ChatGPT 59

TechCrunch

SEPTEMBER 6, 2021

million (~$6.1M) funding round off the back of increased demand for its computer vision training platform. “Over the years, a trend we have observed is that often the people who get the maximum value from AI are non technical personas like a content manager in a press and creative agency, or an application manager in the space sector.

Artificial Inteligence 230

Artificial Inteligence Off-The-Shelf Machine Learning Training 230

Erik Bernhardsson

APRIL 21, 2015

There’s a bunch of companies working on machine learning as a service. Instead of the negative let’s go through the ways I think a machine learning API can actually be useful (ok full disclosure: I don’t think it’s very many). Focusing on a particular niche makes it easier to build something that works off the shelf.

Machine Learning 100

Machine Learning Artificial Inteligence Off-The-Shelf Cloud 100

CIO

JANUARY 9, 2024

Many organizations know that commercially available, “off-the-shelf” generative AI models don’t work well in enterprise settings because of significant data access and security risks. In other words, we are walking a mile in our customers’ shoes. Here’s a quick read about how enterprises put generative AI to work).

Artificial Inteligence 282

Artificial Inteligence Enterprise Generative AI Technical Review 282

Altexsoft

JULY 8, 2021

To help companies unlock the full potential of personalized marketing, propensity models should use the power of machine learning technologies. This post is going to shed light on propensity modeling and the role of machine learning in making it an efficient predictive tool. What is a propensity model?

Artificial Inteligence 78

Artificial Inteligence Machine Learning How To Airlines 78

Altexsoft

APRIL 13, 2021

And when it comes to decision-making, it’s often more nuanced than an off-the-shelf system can handle — it needs the understanding of the context of each particular case. But it does need more advanced approaches that mimic human perception and judgment like AI, Machine Learning, and ML-based Robotic Process Automation.

Machine Learning 87

Machine Learning Artificial Inteligence Insurance Technical Review 87

Altexsoft

FEBRUARY 5, 2020

In this article, we’ll discuss what the next best action strategy is and how businesses define the next best action using machine learning-based recommender systems. The funnel for each customer is unique as each customer learns about a company or its services at their own pace and style. This changes the game for marketers.

Machine Learning 110

Machine Learning Artificial Inteligence Marketing How To 110

CIO

SEPTEMBER 12, 2022

In early 2020, the company’s infrastructure was an amalgam of “everything,” Fazal says, including mainframe, client/server, and SaaS systems, as well as 140 applications of all “flavors,” some customized, some off the shelf, some from big companies and some from small companies, he says. Data engine on wheels’.

Data Engineering 287

Data Engineering Engineering Data Transportation 287

CIO

APRIL 14, 2023

Faced with a long-running shortage of experienced professional developers, enterprise IT leaders have been exploring fresh ways of unlocking software development talent by training up non-IT staff and deploying tools that enable even business users to build or customize applications to suit their needs.

Technical Advisors 269

Technical Advisors CTO Coach Off-The-Shelf Software Development 269

TechCrunch

OCTOBER 18, 2021

Xipeng Shen is a professor at North Carolina State University and ACM Distinguished Member, focusing on system software and machine learning research. applicants signals that your innovation has strong technical and commercial merit and the potential for broad U.S. He is a co-founder and CTO of CoCoPIE LLC. economic impact.

Technical Review 219

Technical Review Minimum Viable Product Off-The-Shelf Small Business 219

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

Altexsoft

JANUARY 27, 2022

As of today, different machine learning (and specifically deep learning) techniques capable of processing huge amounts of both historic and real-time data are used to forecast traffic flow, density, and speed. In 2021, NYC drivers lost an average of 102 hours in congestion – and before the pandemic that score was even worse.

Machine Learning 69

Machine Learning Artificial Inteligence Transportation Network 69

TechCrunch

NOVEMBER 11, 2020

And it should be noted that the round was rumored for almost a month ahead of this , although the sums raised were off by quite a bit: the reports had said $150-200 million. The rapid fundraising, from a top-shelf list of firms, is a notable aspect of this story. Its valuation is now over $3 billion. billion valuation.

Off-The-Shelf 255

Off-The-Shelf Machine Learning Artificial Inteligence Travel 255

TechCrunch

MARCH 9, 2023

While digital processors “pause” to swap data in and out of dedicated memory, Mythic’s hardware can perform calculations in parallel without stopping, leading to performance and efficiency gains, particularly for AI applications — or so the company claims, at least. Mythic initially worked on projects for the U.S.

Technical Review 227

Technical Review CTO Coach Fractional CTO Off-The-Shelf 227

CIO

JULY 14, 2023

As a ‘taker,’ you consume generative AI through either an API, like ChatGPT, or through another application, like GitHub Copilot, for software acceleration when you do coding,” he says. In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.”

Generative AI 234

Generative AI Artificial Inteligence Open Source ChatGPT 234

Netflix Tech

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

System 90

System Machine Learning Artificial Inteligence Training 90

TechCrunch

JUNE 22, 2021

We’ve chronicled, in great detail, the many layers of technology, services and solutions that have been wrapped around the world of education in recent years — and especially in the last year, which became a high watermark for digital learning tools because of COVID-19.

Hardware 244

Hardware Education Software Off-The-Shelf 244

CIO

NOVEMBER 27, 2023

That’s not to say they’re looking to ditch their roles or smash machines, as the real Luddites had. The Society for Information Management (SIM) recently conducted its annual trends study and found that nearly a quarter of the IT leaders polled listed AI and machine learning as an area of concern, says SIM CEO Mark Taylor.

Fractional CTO 306

Fractional CTO Artificial Inteligence CTO Coach Budget 306

CIO

JULY 21, 2023

So as organizations face evolving challenges and digitally transform, they offer advantages to make complex business operations more efficient, including flexibility and scalability, as well as advanced automation, collaborative communication, analytics, security, and compliance features. Cost overruns have been another significant concern.

Technical Review 242

Technical Review Weak Development Team Transportation Development 242

Palo Alto Networks

MAY 7, 2024

For example, they repurpose malware and often use off-the-shelf toolkits like CobaltStrike and Brute Ratel C4 to exploit weaknesses and take malicious actions with minimal effort. Automated Vulnerability Exploitation – AI can be used to automate the process of discovering and exploiting vulnerabilities in applications or systems.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Malware Off-The-Shelf 52

TechCrunch

AUGUST 24, 2022

Stability AI’s Stable Diffusion , high fidelity but capable of being run on off-the-shelf consumer hardware, is now in use by art generator services like Artbreeder, Pixelz.ai But the model’s unfiltered nature means not all the use has been completely above board. For the most part, the use cases have been above board.

Open Source 272

Open Source Off-The-Shelf System Research 272

Cloudera

MAY 4, 2022

In a retail operation, for instance, AI-driven smart shelf systems use Internet of Things (IoT) and cloud-based applications to alert the back room to replenish items. Artificial intelligence (AI) has been a focus for research for decades, but has only recently become truly viable. Benefits aplenty. Faster decisions . Error reduction.

Artificial Inteligence 129

Artificial Inteligence Off-The-Shelf Systems Review Artificial Intelligence 129

Exadel

AUGUST 19, 2021

Creating an application with facial recognition capabilities requires significant investments and effort. That’s why most companies choose to integrate their applications with off-the-shelf facial recognition services instead of creating one from scratch. Calculated facial recognition services costs . Previous article.

Off-The-Shelf 94

Off-The-Shelf Software Analysis Applications 94

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. Think about the endless amounts of data produced by your application every minute. Let’s do it.

Artificial Inteligence 145

Artificial Inteligence Tools Machine Learning Artificial Intelligence 145

Infinidat

MAY 4, 2021

Deep Learning Myths, Lies, and Videotape - Part 2: Balderdash! In Part 1 of this blog post , we discussed the history and definitions of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL), as well as Infinidat’s use of true Deep Learning in our Neural Cache software. Adriana Andronescu.

Artificial Inteligence 98

Artificial Inteligence Off-The-Shelf Storage Machine Learning 98

O'Reilly Media - Ideas

JANUARY 8, 2019

In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. For most companies, the road toward machine learning (ML) involves simpler analytic applications. Sustaining machine learning in an enterprise.

Trends 89

Trends Data Machine Learning Artificial Inteligence 89

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. There is also a trade off in balancing a model’s interpretability and its performance.

Off-The-Shelf 113

Off-The-Shelf Machine Learning Artificial Inteligence Weak Development Team 113

Tandem

APRIL 2, 2024

With the ever-expanding set of emerging technologies — big data, machine learning (ML), artificial intelligence (AI), next-gen user experiences (UI/UX), edge computing, the Internet-of-things (IoT), microservices, and Web3 — there is a huge surface area to address. Swift reconfiguration necessitates a shift in mindset and culture.

UI/UX 59

UI/UX Software Weak Development Team Artificial Inteligence 59

TechCrunch

JULY 16, 2021

But then came Bitcoin and the crypto boom and — also in 2013 — the Snowden revelations, which ripped the veil off the NSA’s “collect it all” mantra, as Booz Allen Hamilton sub-contractor Ed risked it all to dump data on his own (and other) governments’ mass surveillance programs. million seed round in 2019.

Technical Review 334

Technical Review Network Internet Off-The-Shelf 334

O'Reilly Media - Ideas

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). A lot to learn, but worthwhile to access the unique and special value AI can create in the product space. Why AI software development is different.

Product Management 139

Product Management Artificial Inteligence Machine Learning Software Review 139

Altexsoft

JUNE 11, 2021

an also be described as a part of business process management (BPM) that applies data science (with its data mining and machine learning techniques) to dig into the records of the company’s software, get the understanding of its processes performance, and support optimization activities. What is process mining? Process mining ?an

Applications 69

Applications Weak Development Team Systems Review Software Review 69

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. Think about the endless amounts of data produced by your application every minute. Let’s do it.

Artificial Inteligence 124

Artificial Inteligence Tools Machine Learning Artificial Intelligence 124

Sunflower Lab

FEBRUARY 8, 2024

These applications may be different in their training needs or working. Let’s understand each and every system in detail to know more about them and their application. • Bots Bots have become an integral component of everyone’s day-to-day lives. Thus, it becomes a difficult task to understand them and differentiate between them.

Artificial Inteligence 52

Artificial Inteligence Real Estate Artificial Intelligence Healthcare 52

O'Reilly Media - Ideas

OCTOBER 13, 2020

Similarly, in “ Building Machine Learning Powered Applications: Going from Idea to Product ,” Emmanuel Ameisen states: “Indeed, exposing a model to users in production comes with a set of challenges that mirrors the ones that come with debugging a model.”. The field of AI product management continues to gain momentum.

Product Management 111

Product Management Artificial Inteligence UI/UX Off-The-Shelf 111

Exadel

AUGUST 19, 2021

Creating an application with facial recognition capabilities requires significant investments and effort. That’s why most companies choose to integrate their applications with off-the-shelf facial recognition services instead of creating one from scratch. Calculated facial recognition services costs . Previous article.

Off-The-Shelf 70

Off-The-Shelf Software Analysis Applications 70

O'Reilly Media - Ideas

JANUARY 24, 2019

Experts weigh in on GraphQL, machine learning, React, micro-frontends, and other trends that will shape web development. Machine learning in the browser. are enabling developers to build ML-enabled applications without first completing their PhDs, while easier-to-use APIs in TensorFlow.js GraphQL leaves the nest.

Trends 63

Trends Off-The-Shelf SOA Web Development 63