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

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?

Machine Learning 21

Machine Learning Artificial Inteligence Banking Enterprise 21

TechCrunch

NOVEMBER 22, 2022

Users can also leverage Taktile to experiment with off-the-shelf data integrations and monitor the performance of predictive models in their decision flows, Wehmeyer said, performing A/B tests to evaluate those flows. “This round will help us further accelerate our ongoing expansion in the U.S.,

Fintech 228

Fintech Testing Company Off-The-Shelf 228

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 173

Off-The-Shelf Artificial Inteligence Machine Learning Weak Development Team 173

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

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. So what went wrong? But funding is drying up.

Technical Review 227

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

CIO

MAY 10, 2024

Sastry Durvasula, chief information and client services officer at TIAA, says the multilayered platform’s extensive use of machine learning as part of its customer service line partnership with Google AI makes JSOC a formidable tool for financial and retirement planning and guiding customers through complex financial journeys.

Artificial Inteligence 174

Artificial Inteligence Machine Learning Off-The-Shelf Generative AI 174

iTexico

AUGUST 26, 2019

Machine Learning Use Cases: iTexico’s HAL. AI technology has been the focus of large-scale attention for decades, both as science-fiction theory and conclusive scientific performance. Small cameras, placed on top of shelves, monitor and stream real-time information on shelf-stock levels. What Is Machine Learning?

Artificial Inteligence 15

Artificial Inteligence Machine Learning Software Review Artificial Intelligence 15

CIO

JANUARY 4, 2023

They also received $7 billion in pandemic aid and performed $5.6 In 2017, Fast Company wrote that Southwest Airlines’ digital transformation “takes off” with an $800 million technology overhaul, but only $300 million was dedicated to new technology for operations. 19-28 far exceeded any other airlines’ operational impacts.

Airlines 216

Airlines Off-The-Shelf Weak Development Team Software Development 216

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

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. AIOps seems to be all the rage these days, and it’s not hard to figure out why. Let’s do it.

Artificial Inteligence 145

Artificial Inteligence Tools Machine Learning Artificial Intelligence 145

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 174

Data Engineering Engineering Data Transportation 174

Altexsoft

NOVEMBER 11, 2019

Let’s compare the existing options: traditional statistical forecasting, machine learning algorithms, predictive analytics that combine both approaches, and demand sensing as a supporting tool. What is the top pain point for business executives? The world’s largest IT research firm Gartner gives a clear answer: demand volatility.

Machine Learning 14

Machine Learning Artificial Inteligence Analytics Technical Review 14

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. Instead, a more viable option is to perform fine-tuning on a pre-trained, general model. These are notable investments of time, data, and money.

Artificial Inteligence 179

Artificial Inteligence Enterprise Generative AI Technical Review 179

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. AIOps seems to be all the rage these days, and it’s not hard to figure out why. Let’s do it.

Artificial Inteligence 124

Artificial Inteligence Tools Machine Learning Artificial Intelligence 124

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 145

Product Management Artificial Inteligence Machine Learning Weak Development Team 145

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 125

Product Management Artificial Inteligence UI/UX Off-The-Shelf 125

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. In simple terms an AI process can out-perform a human at very specific tasks. Benefits aplenty. AI also enables 24-hour operations with minimum downtime. .

Artificial Inteligence 130

Artificial Inteligence Off-The-Shelf Systems Review Insurance 130

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. You might say that the outcome of this exercise is a performant predictive model.

Software Review 145

Software Review Development Team Review Artificial Inteligence Machine Learning 145

Altexsoft

JANUARY 27, 2022

Precise forecasts of road and traffic conditions to avoid congestion are crucial for such companies’ planning and performance. Precise forecasts of road and traffic conditions to avoid congestion are crucial for such companies’ planning and performance. But have you ever thought about how Google Maps knows what to expect on the way?

Machine Learning 69

Machine Learning Artificial Inteligence 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 95

Open Source Data Artificial Inteligence Machine Learning 95

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

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

AWS Machine Learning - AI

MARCH 18, 2025

However, off-the-shelf LLMs cant be used without some modification. Embedding is usually performed by a machine learning (ML) model. SQL is one of the key languages widely used across businesses, and it requires an understanding of databases and table metadata. We use Anthropics Claude 3.5

Artificial Inteligence 85

Artificial Inteligence Applications Generative AI Off-The-Shelf 85

CIO

JULY 24, 2024

The challenge, as many businesses are now learning the hard way, is that simply applying black box, off-the-shelf LLMs, like a GPT-4, for example, will not deliver the accuracy and consistency needed for professional-grade solutions. 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

Altexsoft

MAY 5, 2023

AI in a nutshell Artificial Intelligence (AI) , at its core, is a branch of computer science that focuses on developing algorithms and computer systems capable of performing tasks that typically require human intelligence. This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making.

Artificial Inteligence 59

Artificial Inteligence Machine Learning Technical Review ChatGPT 59

Perficient

JANUARY 17, 2025

Strict regulations around HIPAA, PHI, and PII create significant barriers, making it difficult to adopt off-the-shelf AI solutions from fields like commerce or digital experience. In 2025, the medical device industry trends are not just shaping the futurethey’re redefining the present.

Trends 52

Trends Innovation Artificial Inteligence Healthcare 52

Altexsoft

OCTOBER 3, 2019

performing and high?potential Creating and maintaining the great environment comes along with the understanding who the high performers are and how to keep them inspired, as well as who is lagging and why. The day may come when a seasoned professional tells you or your colleague about their plan to leave the company in a month.

Analytics 16

Analytics Company Off-The-Shelf How To 16

O'Reilly Media - Ideas

SEPTEMBER 15, 2020

AI is a field where value, in the form of outcomes and their resulting benefits, is created by machines exhibiting the ability to learn and “understand,” and to use the knowledge learned to carry out tasks or achieve goals. AI-generated benefits can be realized by defining and achieving appropriate goals.

How To 145

How To Off-The-Shelf Advertising Artificial Inteligence 145

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 105

Artificial Inteligence Serverless Engineering Machine Learning 105

Tenable

MARCH 28, 2025

Titled Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations (NIST AI 100-2) and published by the U.S. Perform data filtering to try to remove poisoned data samples. Plus, organizations have another cryptographic algorithm for protecting data against future quantum attacks.

Artificial Inteligence 69

Artificial Inteligence Off-The-Shelf Artificial Intelligence Machine Learning 69

O'Reilly Media - Ideas

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). are written in English.

System 111

System Off-The-Shelf Artificial Inteligence Machine Learning 111

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 145

DevOps Data Software Review Technical Advisors 145

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

Xebia

APRIL 4, 2025

Together, we will learn about: Why GenAI data extraction The automation levels The automation potential Let’s start! LLMs can read menu cards and convert them directly into a desired structured format, cutting development cost for custom- OCR and extraction solutions and potentially providing superior extraction performance.

Data 130

Data Artificial Inteligence Quality Assurance Insurance 130

AWS Machine Learning - AI

AUGUST 22, 2024

Monitoring the performance, bias, and ethical implications of generative AI models in production environments is a crucial task. Building a deployment pipeline for generative artificial intelligence (AI) applications at scale is a formidable challenge because of the complexities and unique requirements of these systems.

Generative AI 108

Generative AI Artificial Inteligence Applications AWS 108