CIO
AUGUST 7, 2023
And, in fact, McKinsey research argues the future could indeed be dazzling, with gen AI improving productivity in customer support by up to 40%, in software engineering by 20% to 30%, and in marketing by 10%. It does not allow for integration of proprietary data and offers the fewest privacy and IP protections.
CIO
JULY 14, 2023
In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.” A general LLM won’t be calibrated for that, but you can recalibrate it—a process known as fine-tuning—to your own data. Every company will be doing that,” he adds. “In
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Mentormate
JANUARY 11, 2022
Sure, you might get lucky and find the right person with the right skills in the right geography, but it’s not realistic to scale up and retain a larger engineering organization that way. Only the largest engineering organizations have the scale to make this kind of continuous investment. Where Did All the People Go?
Altexsoft
JUNE 6, 2019
In-store cameras and sensors detect each product one takes from a shelf, and items are being added to a virtual cart while a customer proceeds. Physical stores still have a lion’s share of sales, but the tendency of the growing demand for online experiences shouldn’t be ignored. Source: Forrester Consulting. Amazon Go stores.
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
O'Reilly Media - Ideas
MARCH 31, 2020
We won’t go into the mathematics or engineering of modern machine learning here. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data.
O'Reilly Media - Data
MARCH 22, 2018
Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g., There is also a trade off in balancing a model’s interpretability and its performance.
Expert insights. Personalized for you.
246 
Let's personalize your content