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All Blog Posts Tagged 'ai' (67)

AI Robotization with InterSystems IRIS Data Platform

Fixing the terminology

A robot is not expected to be either huge or humanoid, or even material (in disagreement with Wikipedia, although the…

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Added by Sergey Lukyanchikov on July 16, 2021 at 4:00am — No Comments

Difference Between Algorithm and Artificial Intelligence

By 2035 AI could boost average profitability rates by 38 percent and lead to an economic increase of $14 Trillion.

  • Accenture

The words Artificial Intelligence (AI), and algorithms are most often misused and misunderstood. There are often used…

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Added by Aileen Scott on July 6, 2021 at 9:30pm — No Comments

Ways Artificial Intelligence Impacts the Banking Sector

"75 percent of respondents at banks with over $100 billion in assets say they're currently implementing AI strategies, compared with 46 percent at banks with less than $100 billion in assets," UBS Evidence Lab reports.

Artificial Intelligence (AI) has become an integral part of the most demanding and fast-paced…

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Added by Aileen Scott on June 23, 2021 at 3:30am — No Comments

Best Programming Languages For AI & ML (Artificial Intelligence and Machine Learning)

Industries are walking the path that leads to digital transformation and automation, and artificial intelligence is the constant companion. Not many know that artificial intelligence remained stagnant for decades but is now undergoing massive growth and…

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Added by Lucky Brain on June 11, 2021 at 4:19am — No Comments

Complete Guide To Be an Artificial Intelligence Professional

Artificial Intelligence is one of the biggest technological waves that have hit the world of technology. According to research from Gartner, artificial intelligence will create a business value worth US$3.9 trillion by 2022. Globally the artificial Intelligence market will grow at a rate of 154 percent. This resulted in the high…

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Added by Aileen Scott on June 3, 2021 at 10:00pm — No Comments

Will GPT-3 AI put authors out of work permanently?

In a world of GPT-3 AI-generated content, are writers even needed? In a recent business experiment, I set out to answer this question.

If you’re wondering, who am I to tell you anything about GPT-3 AI?…

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Added by Lillian Pierson on May 28, 2021 at 4:30am — No Comments

How to Grow Your Small Business Using Artificial Intelligence

Image source: pixbay.com

Artificial Intelligence (AI) has numerous applications for small businesses and is not something meant just for large corporations. No one can deny the…

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Added by Gaurav Sharma on May 7, 2021 at 9:36pm — 2 Comments

Distributed Artificial Intelligence with InterSystems IRIS

What is Distributed Artificial Intelligence (DAI)?

Attempts to find a “bullet-proof” definition have not produced result: it seems like the term is slightly “ahead of time”. Still, we can analyze semantically the term itself – deriving that distributed artificial intelligence is the same AI (see…

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Added by Sergey Lukyanchikov on April 3, 2021 at 3:00am — No Comments

Watch Out for the Top 5 Most In-Demand AI Job Skills in 2021

Despite the tough year, many companies across the world have started accelerating their approach toward using artificial intelligence (AI) to maximize businesses.

A recent AI survey by PwC reported a quarter percent of companies had taken part in the survey, an increase of 18 percent as compared to last year. The rest 54 percent of other companies are…

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Added by Aileen Scott on February 10, 2021 at 6:00pm — No Comments

Blockchain emerging as Next-Generation Data and Model Governance Framework

Introduction and Motivation

The blockchain technology has led to a strong foundation for different applications related to asset management, medical/health, finance, and insurance. Data analytics provided by…
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Added by Sharmistha Chatterjee on December 28, 2020 at 1:30am — 1 Comment

Horowitz Index Day-Ahead Change Prediction in Real Time

Rationalizing the effort of our intensive care staff by predicting patient condition indicators in real time is a challenge because of an impressive number of externally imposed and internally unavoidable restrictions. Patient data privacy requirements, variety of types and lack of standardization within one type of equipment, limited availability of “pure” examples of this or that patient condition patterns – just to name a few complexity factors.

Computational approaches to model…

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Added by Sergey Lukyanchikov on December 14, 2020 at 3:00am — No Comments

Unveil the Significance of Neo Machine Learning (NeoML)

NeoML, launched by ABBYY, the digital intelligence company is an open-source library ideal to build, train, and deploy machine learning (ML) models.

The open-source library which was earlier launched in June 2020 is now available on GitHub as well. NeoML provides huge support to both deep learning and traditional machine learning…

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Added by Aileen Scott on December 10, 2020 at 10:00pm — No Comments

Genius Tool to Compare Best Time-Series Models For Multi-step Time Series Modeling

Predict Number of Active Cases by Covid-19 Pandemic based on Medical Facilities (Volume of Testing, ICU beds, Ventilators, Isolation Units, etc) using Multi-variate…

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Added by Sharmistha Chatterjee on October 17, 2020 at 10:30pm — No Comments

All-Purpose Universal Platform for Real-Time AI/ML

Author: Sergey Lukyanchikov

Challenges of real-time AI/ML computations

We will start from the examples that we faced as Data Science practice at InterSystems:

  • A “high-load” customer portal is integrated with an online recommendation system. The plan is to reconfigure promo campaigns at the level of the entire retail network (we will assume that instead of a…
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Added by Sergey Lukyanchikov on September 20, 2020 at 12:30pm — No Comments

InterSystems IRIS ML Toolkit orchestrating Microsoft Azure Data Factory and Machine Learning

ML Toolkit for InterSystems IRIS, besides Python/R/Julia, allows orchestrating cloud-based advanced analytics services, such as Microsoft Azure Data Factory and Machine Learning:…

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Added by Sergey Lukyanchikov on August 18, 2020 at 12:13am — No Comments

Building Up Stable Data Science Teams

Most of the big organizations are struggling with AI transformation. Data science projects are either taking too long to complete or would never get into production. 

Among various reasons, the most common is the lack of a stable data science team. Due to high demand, the turnover rate is very high in data science, unfortunately. Data science managers or leaders typically go around this problem by focusing on the following:

  • acquire best data science talent
  • retain…
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Added by Nasir Mahmood on May 5, 2020 at 1:30am — No Comments

COVID-19 Risk Heat Maps with Location Data, Apache Arrow, Markov Chain Modeling, and R Shiny

This is the second of two articles about our recent participation in the Pandemic Response Hackathon. Our project (CoronaRank) was one of only 5 projects out of 230 submissions chosen as Spotlight Winners to present at the closing ceremony. Read on for the technical aspects of our solution, for a more general overview of the hackathon and our product see our first article…

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Added by Filip Stachura on April 29, 2020 at 1:00am — 1 Comment

IRIS ML Toolkit can now use IntegratedML

IRIS ML Toolkit adds the power of IntegratedML to further extend convergent scenario coverage into the area of automated feature and model type/parameter selection. The previous "manual" pipelines now collaborate within the same analytic process with "auto" pipelines that are based on automation frameworks, such as H2O.…

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Added by Sergey Lukyanchikov on February 14, 2020 at 1:00pm — No Comments

Mastering Machine Learning Algorithms Second Edition

Mastering Machine Learning Algorithms, Second Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and…

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Added by Giuseppe Bonaccorso on February 9, 2020 at 3:01am — No Comments

Magic Dust for Artificial Intelligence Product Managers

In a meeting with engineering leadership, I was told, "We'll tack on the AI later."
While doing ethnographic testing with a β customer, I was asked if the AI would just learn and then do everything perfectly.
During a…
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Added by Mark Cramer on January 23, 2020 at 12:30pm — No Comments

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