TechCrunch

NOVEMBER 3, 2020

Online education tools continue to see a surge of interest boosted by major changes in work and learning practices in the midst of a global health pandemic. The funding will be used to continue investing in its platform to target more business customers. Now it’s time to build out a sales team to go after them.”

Education 295

Education Enterprise Artificial Inteligence Off-The-Shelf 295

TechCrunch

OCTOBER 6, 2022

The proceeds bring the company’s total raised to $17 million, which CEO Sankalp Arora says is being put toward expanding Gather’s deployment capacity and go-to-market plans as well as hiring new machine learning engineers. So does Pensa Systems, Vimaan, Intelligent Flying Machines , Vtrus and Verity.

Off-The-Shelf 221

Off-The-Shelf Hardware Artificial Inteligence Machine Learning 221

TechCrunch

JANUARY 12, 2023

Field-programmable gate arrays (FPGA) , or integrated circuits sold off-the-shelf, are a hot topic in tech. The global FPGA market size could reach $14 billion by 2028, according to one estimate, up from $6 billion in 2021. ” Rapid Silicon is developing two products at present: Raptor and Gemini. .

Marketing 215

Marketing Open Source Off-The-Shelf Artificial Inteligence 215

CIO

DECEMBER 10, 2024

As many companies that have already adopted off-the-shelf GenAI models have found, getting these generic LLMs to work for highly specialized workflows requires a great deal of customization and integration of company-specific data. Large language models (LLMs) just keep getting better. From Llama3.1 to Gemini to Claude3.5

Artificial Inteligence 174

Artificial Inteligence Off-The-Shelf Insurance Analytics 174

CIO

DECEMBER 31, 2024

Marzoni is in charge of a department with upward of 500 people who work with data analysis and machine learning (ML). And interest in the training has exceeded expectations with 150 people already applied. And then theres also a traditional IT department with system architects and developers. Its a good sign, he adds.

Examples 192

Examples Off-The-Shelf Artificial Inteligence Machine Learning 192

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.

Artificial Inteligence 110

Artificial Inteligence Machine Learning Marketing How To 110

CIO

JANUARY 6, 2025

Wetmur says Morgan Stanley has been using modern data science, AI, and machine learning for years to analyze data and activity, pinpoint risks, and initiate mitigation, noting that teams at the firm have earned patents in this space. CIOs are an ambitious lot. Heres what they resolve to do in the upcoming 12 months.

Generative AI 210

Generative AI Artificial Inteligence Innovation Off-The-Shelf 210

iTexico

AUGUST 26, 2019

Machine Learning Use Cases: iTexico’s HAL. The smart reply function utilizes machine learning to automatically suggest three different brief, customized responses to quickly answer any emails you may receive. Small cameras, placed on top of shelves, monitor and stream real-time information on shelf-stock levels.

Artificial Inteligence 15

Artificial Inteligence Machine Learning Software Review Artificial Intelligence 15

O'Reilly Media - Ideas

JULY 15, 2019

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. What cultural and organizational changes will be needed to accommodate the rise of machine and learning and AI?

Artificial Inteligence 16

Artificial Inteligence Machine Learning Banking Enterprise 16

CIO

JULY 8, 2024

With AI, quote turnaround can go from 12 hours to 20 minutes , training time drops by 90%, and sales productivity goes through the roof. When it comes to document automation using machine learning technology and AI to start automating the order process, material matching models must align with how the company searches for their materials.

Artificial Inteligence 158

Artificial Inteligence Artificial Intelligence Off-The-Shelf Machine Learning 158

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. Lesson 1: Don’t start from scratch to train your LLM model Massive amounts of data and computational resources are needed to train an LLM.

Artificial Inteligence 179

Artificial Inteligence Enterprise Generative AI Technical Review 179

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.

Artificial Inteligence 87

Artificial Inteligence Machine Learning Insurance Technical Review 87

CIO

NOVEMBER 27, 2024

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 211

Data Enterprise Weak Development Team Software Review 211

CIO

SEPTEMBER 12, 2022

Aside from his own plans, Fazal is also engaged with CIOs and CTOs of partner agencies on several 10-to-15-year projects that involve purchasing new trains, building new tracks, and designing the proposed new tunnel between New York and New Jersey to add additional tracks. We have shown out value,” Fazal says of the transformation. “We

Data Engineering 174

Data Engineering Engineering Data Transportation 174

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 137

Product Management Artificial Inteligence Machine Learning Weak Development Team 137

CIO

AUGUST 7, 2023

Examples include GitHub Copilot, an off-the-shelf solution to generate code, or Adobe Firefly, which assists designers with image generation and editing. Hardly a day goes by without some new business-busting development on generative AI surfacing in the media. There are two common approaches for Shapers.

Generative AI 147

Generative AI Off-The-Shelf Architecture Infrastructure 147

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 118

Off-The-Shelf Artificial Inteligence Machine Learning Weak Development Team 118

CIO

JANUARY 8, 2025

Over the past few years, enterprises have strived to move as much as possible as quickly as possible to the public cloud to minimize CapEx and save money. Increasingly, however, CIOs are reviewing and rationalizing those investments. Are they truly enhancing productivity and reducing costs? We see this more as a trend, he says.

Cloud 209

Cloud Technical Review Systems Review Budget 209

TechCrunch

MARCH 22, 2022

Smartphone cameras have gotten quite good, but it’s getting harder and harder to improve them because we’ve pretty much reached the limit of what’s possible in the space of a cubic centimeter. It may not be obvious that cameras won’t get better, since we’ve seen such advances in recent generations of phones.

Film 246

Film Technical Review Systems Review Weak Development Team 246

CIO

JULY 24, 2024

Things get quite a bit more complicated, however, when those models – which were designed and trained based on information that is broadly accessible via the internet – are applied to complex, industry-specific use cases. The key to this approach is developing a solid data foundation to support the GenAI model.

Artificial Inteligence 113

Artificial Inteligence Off-The-Shelf Insurance How To 113

AWS Machine Learning - AI

AUGUST 22, 2024

SageMaker Pipelines You can use SageMaker Pipelines to define and orchestrate the various steps involved in the ML lifecycle, such as data preprocessing, model training, evaluation, and deployment. Generative AI models are constantly evolving, with new versions and updates released frequently.

Generative AI 124

Generative AI Artificial Inteligence Applications AWS 124

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.

Artificial Inteligence 69

Artificial Inteligence Machine Learning Transportation Network 69

Netflix Tech

DECEMBER 3, 2019

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” Our job as a Machine Learning Infrastructure team would therefore not be mainly about enabling new technical feats.

Open Source 94

Open Source Data Artificial Inteligence Machine Learning 94

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 173

Technical Advisors CTO Coach Off-The-Shelf Software Development 173

O'Reilly Media - Ideas

JANUARY 8, 2019

From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data. Increasing focus on building data culture, organization, and training. 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.

Trends 88

Trends Data Artificial Inteligence Machine Learning 88

CIO

MARCH 13, 2024

L’analisi dei dati attraverso l’apprendimento automatico (machine learning, deep learning, reti neurali) è la tecnologia maggiormente utilizzata dalle grandi imprese che utilizzano l’IA (51,9%). Le reti neurali sono il modello di machine learning più utilizzato oggi.

Artificial Inteligence 158

Artificial Inteligence Machine Learning Software Review CTO Coach 158

O'Reilly Media - Ideas

JANUARY 17, 2023

” I, thankfully, learned this early in my career, at a time when I could still refer to myself as a software developer. You know the drill: pull some data, carve it up into features, feed it into one of scikit-learn’s various algorithms. What would you say is the job of a software developer? Pretty simple. Building Models.

Software Review 135

Software Review Development Team Review Artificial Inteligence Machine Learning 135

AWS Machine Learning - AI

NOVEMBER 22, 2023

In addition, customers are looking for choices to select the most performant and cost-effective machine learning (ML) model and the ability to perform necessary customization (fine-tuning) to fit their business use cases. The LLM generated text, and the IR system retrieves relevant information from a knowledge base.

Artificial Inteligence 120

Artificial Inteligence Serverless Engineering Generative AI 120

CIO

JULY 14, 2023

In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.” Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations.

Generative AI 148

Generative AI Artificial Inteligence Open Source ChatGPT 148

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

Altexsoft

OCTOBER 3, 2019

The day may come when a seasoned professional tells you or your colleague about their plan to leave the company in a month. This situation isn’t extraordinary: managers and HR specialists of any organization have been there. What’s clear is that employees and managers will have work to do. The problem can be viewed on a greater scale.

Analytics 16

Analytics Company Off-The-Shelf How To 16

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 207

Fractional CTO Artificial Inteligence CTO Coach Budget 207

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 116

Product Management Artificial Inteligence UI/UX Off-The-Shelf 116

O'Reilly Media - Ideas

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. The new category is often called MLOps.

DevOps 141

DevOps Data Software Review Technical Advisors 141

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 92

System Artificial Inteligence Machine Learning Training 92

AWS Machine Learning - AI

DECEMBER 22, 2023

We start off with a baseline foundation model from SageMaker JumpStart and evaluate it with TruLens , an open source library for evaluating and tracking large language model (LLM) apps. These foundation models perform well with generative tasks, from crafting text and summaries, answering questions, to producing images and videos.

Artificial Inteligence 116

Artificial Inteligence Training Off-The-Shelf Metrics 116

Linux Academy

JANUARY 16, 2020

Mark Richman, AWS Training Architect. This former New Yorker turned Floridian gets to the point and brings the immediate truth in every conversation- and in the training world, nothing could be more beneficial. Mark’s passion for learning and self-sufficiency began early on in life. . The early, nerdy years.

Linux 22

Linux Training Azure Off-The-Shelf 22