Business Intelligence Machine Learning Technical Advisors 
CIO
JULY 23, 2024
US regulatory agencies are watching for exaggerated AI claims, with the US Securities and Exchange Commission announcing a settlement in March with two investment advisors. Take care Bracewell’s Shargel advises companies to be careful about making broad claims about their AI capabilities.
CIO
MARCH 7, 2023
But 2023 is shaping up to be paradoxical, and after speaking to hundreds of CIOs over the past couple of years, I have been advising them to seek force multipliers in their digital transformation initiatives. During the pandemic, speed remained a priority as CIO shifted to automate workflows and improve employee experiences.
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CIO
SEPTEMBER 8, 2022
For several decades this has been the story behind Artificial Intelligence and Machine Learning. As Andy Jassy, CEO of Amazon, said, “Most applications, in the fullness of time, will be infused in some way with machine learning and artificial intelligence.”.
CIO
AUGUST 18, 2022
Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). It can get very sophisticated, with very personalized insights,” he says. “It
TechCrunch
JANUARY 16, 2021
A great amount of talent is cultivated in the military, which has spawned innovative cyber, AI and machine-learning companies. That said, it is 100% oversaturated, and there are too many examples of strong technical founders creating “yet another” SaaS security startup. (2)
Altexsoft
JUNE 26, 2023
While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?
Altexsoft
OCTOBER 17, 2019
Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. Generally, specialists with both technical and business backgrounds work together in a data quality team. Data custodian – manages the technical environment of data maintenance and storage.
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