OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. These technologies allow mobile apps to learn and adapt to specific equipment conditions, further reducing the risk of equipment failures. Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

TechCrunch

AUGUST 24, 2022

Lily began life as an app for retailers to help understand women shoppers’ personal preferences around fashion. Lily now retains a team of “experts” in fashion, home and beauty who help to refine product taxonomies, which are then used to train algorithms for product search and recommendations.

Retail 226

Retail eCommerce Fashion Apparel 226

TechCrunch

FEBRUARY 16, 2022

He later joined a machine learning team at Google, thanks to his mathematics background. As part of this process, it uses machine learning to try to also analyze the scene in order to suggest other relevant items that can be added. To date, Voila has raised $7.5 million, including from investors SOSV and Artesian.

Artificial Inteligence 229

Artificial Inteligence Machine Learning Apparel Social 229

CIO

JULY 12, 2022

Many are also setting up certification programs to arm their work forces with more of the IT “ technical skills ” that are in high demand – everything from networking to technical support to machine learning to cybersecurity and analytics. Efforts like these can help raise the technical skill levels inside organizations.

Technology 298

Technology Company Course Wireless 298

Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Use case recap.

Analytics 85

Analytics Data Applications System 85

TechCrunch

FEBRUARY 18, 2022

XRHealth Virtual Clinic – Integrates VR/AR, licensed clinicians and real-time data analytics. Bigthinx – AI technology focused on fashion retail, wellness and the metaverse with products for body scanning, digital avatars and virtual fashion. The Metaverse.

3D 221

3D Artificial Inteligence VR Programming 221

CIO

AUGUST 9, 2023

Digital transformation became a key strategic initiative in the mid-2010s, as mobile communications, cloud, data analytics, and other advanced information technologies took off, enabling businesses and consumers to easily engage via digital channels. Amazon became a metaphor for markets upended in upstarts digitalization wake. Deere & Co.,

Technical Review 344

Technical Review Software Review Artificial Inteligence Survey 344

CIO

JULY 12, 2023

AI improves diaper manufacturing “All areas of P&G’s business are being impacted by emerging technologies like automation, AI, and machine learning,” says Vittorio Cretella, CIO of Procter & Gamble. This allows us to use AI in a multitude of fashions.

Artificial Inteligence 246

Artificial Inteligence Training Artificial Intelligence Engineering 246

Cloudera

JUNE 2, 2021

As critical elements in supplying trusted, curated, and usable data for end-to-end analytic and machine learning workflows, the role of data pipelines is becoming indispensable. Lack of automation to deliver good quality data sets in a timely fashion to meet SLAs.

Data 88

Data Data Engineering Machine Learning Artificial Inteligence 88

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. Machine learning for demand planning — advanced accuracy at the price of added complexity. Data sources. Why to use it.

Machine Learning 14

Machine Learning Artificial Inteligence Analytics Technical Review 14

CTOvision

FEBRUARY 4, 2015

Today we learned of three interesting SAS and Hadoop sessions we believe will be of use to anyone seeking enhanced predictive models at scale. From the SAS site they are : Two-Day Training: Machine Learning and Exploratory Modeling With SAS ® and Hadoop. 19 | 1:30 – 2:10 p.m. Room LL20D.

Big Data 108

Big Data Machine Learning Artificial Inteligence Fashion 108

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. These examples are well covered by many others (e.g.,

Artificial Inteligence 42

Artificial Inteligence Machine Learning Analytics Big Data 42

Cloudera

AUGUST 30, 2022

Leverage cloud where it makes sense, not because it’s fashionable. Meanwhile, innovations such as machine learning, artificial intelligence, blockchain, open APIs, 5G, and cloud require providers to reinvent their technology approach to keep pace, better understand, and better serve their customers.

Strategy 101

Strategy Artificial Inteligence Data Budget 101

ProtectWise

JUNE 2, 2017

Academia took care of detailed data analysis while businesses relied instead on good old-fashioned gut instinct. Back then, data analysis was complicated and required experts with hard to find skills to own processes to ensure data was of a high enough quality and proper analytics were applied. Investors are buying into this potential.

Analytics 40

Analytics Artificial Inteligence Data Analysis 40

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. .

Software Review 94

Software Review Technical Review Software Development Team Review 94

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. Machine learning for demand planning — advanced accuracy at the price of added complexity. Data sources. Why to use it.

Machine Learning 8

Machine Learning Artificial Inteligence Analytics Technical Review 8

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

While public cloud vendors offer infrastructure as a service (IaaS,) which delivers compute, storage and network resources in a self-service, highly automated fashion and platform as a service (PaaS), such services do not completely eliminate the need for IT operations management.

Cloud 78

Cloud Google Cloud Azure AWS 78

CTOvision

JANUARY 23, 2015

Editor''s note: Allen Bonde, of embedded analytics leader Actuate (now a subsidiary of OpenText), believes that the opportunities around Big Data, Internet of Things (IoT) and wearables are about to change our world – and that of business applications. - A word on small data and embedded analytics. By Allen Bonde. billion mark.

IoT 125

IoT Big Data Machine Learning Artificial Inteligence 125

Modus Create

SEPTEMBER 9, 2021

Today’s applications interact with other applications through APIs, leverage legacy systems, and grow in complexity from one day to the next in a nonlinear fashion. AI is a broader concept and Machine Learning (ML) is its subset that allows machines to learn from data without being programmed explicitly.

Artificial Inteligence 52

Artificial Inteligence Software Review Testing Software 52

Mentormate

JUNE 13, 2023

Before rushing to write code and use machine learning algorithms, we must understand why we want to incorporate AI and where it will produce the best results for students. In classic Agile fashion, it’s important to point out that this holistic power of three approach is not sequential but parallel.

Artificial Inteligence 98

Artificial Inteligence Artificial Intelligence Education Generative AI 98

d2iq

MARCH 13, 2023

In “ The Future Is Smart: Cloud Native + AI ,” D2iQ CEO Tobi Knaup explains why Kubernetes is a natural fit for running AI and machine learning workloads.The Beatles were eager adopters of advanced technologies. Immersive Extravaganzas As Nicholas Moore asserts , “Experiential retail is the future.”

Retail 72

Retail Artificial Inteligence Virtualization Artificial Intelligence 72

CTOvision

OCTOBER 13, 2014

Ron Kasabian (Intel) This talk introduces how Intel is working with scientists and physicians to help improve research, treatment, and drug development for Parkinson’s Disease using data science and enabling the Parkinson’s research community to build upon an open platform for big data analytics. 9:35am–9:40am Thursday, 10/16/2014.

Big Data 110

Big Data Fashion Media Machine Learning 110

CIO

DECEMBER 1, 2023

Since its origins in the early 1970s, LexisNexis and its portfolio of legal and business data and analytics services have faced competitive threats heralded by the rise of the Internet, Google Search, and open source software — and now perhaps its most formidable adversary yet: generative AI, Reihl notes. “We In total, LexisNexis spent $1.4

Generative AI 321

Generative AI Artificial Inteligence ChatGPT Azure 321

Altexsoft

APRIL 24, 2019

We talked with experts from Perfect Price, Prisync, and a data science specialist from The Tesseract Academy to understand how various businesses can use machine learning for dynamic pricing to achieve their revenue goals. Approaches to dynamic pricing: Rule-based vs machine learning. Functionality of IBM Dynamic Pricing.

Machine Learning 73

Machine Learning Artificial Inteligence Software Review Retail 73

Altexsoft

JUNE 6, 2019

Experts from such companies as Lucidworks, Advantech, KAPUA, MindsDB, Fellow Robots, KaizenTek, Aware Corporation, XR Web, and fashion brands Hockerty and Sumissura joined the discussion. X-Mart visitors can choose from a wide range of items, including beauty products and fast-moving consumer goods, as well as fashion and apparel.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Actian

JULY 26, 2019

A modernization project, done correctly can deliver compelling and predictable results to your organization including millions in cost savings, new analytics capabilities and greater agility. At a global bank that recently migrated from Netezza to the Actian analytics platform was able to save $7.9M Want all the details?

Cloud 40

Cloud Data Analytics Case Study 40

Altexsoft

SEPTEMBER 27, 2020

Internal Workflow Automation with RPA and Machine Learning. Depending on the work the machine learning algorithms are going to do and regulations, it may require an explanation layer over the core ML system. Machine learning in Insurance: Automation of Claim Processing. But AI remains a heavy investment.

Insurance 130

Insurance Machine Learning Artificial Inteligence Blockchain 130

Cloudera

FEBRUARY 12, 2019

Changing consumer behaviours and trends are forcing telcos to cater to consumer needs with better data management and analytics, all while keeping a foot in the competition. With real-time data and analytics, lapses like this can be detected early and perhaps prevented. A bright and clear future for telcos.

Artificial Inteligence 40

Artificial Inteligence IoT Mobile Artificial Intelligence 40

Apiumhub

JANUARY 30, 2019

Niche fashion sites are a huge opportunity. Big Data analytics. Experts in data analytics can take that information and uncover the actionable insights businesses are missing. As more companies now rely on data to inform their business decisions, the demand for data analytics roles in ecommerce services has exploded.

eCommerce 42

eCommerce Artificial Inteligence Artificial Intelligence Machine Learning 42

Openxcell

APRIL 14, 2020

Myntra and bewakoof.com as a cost-effective apparel business organize fashion quizzes and spinning games that lead to customers’ preferences and offers to satisfy their needs. And as we know, most of the AI-based result is based on these two significant factors: Machine learning Natural language processing (NLP).

eCommerce 64

eCommerce Mobile How To Apparel 64

CIO

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 360

Business Intelligence Data Business Analytics Analytics 360

Modus Create

MARCH 17, 2021

“Artificial intelligence and machine learning will be infused in things we can’t imagine. We will see ML processing units inside computers, the widespread use of predictive analytics, and an increased ability of AI to generate pre-decision. ” – Jay Garcia.

Artificial Inteligence 52

Artificial Inteligence Technical Review Trends Internet 52

O'Reilly Media - Data

APRIL 11, 2018

Out of this math background, they’re creating advanced analytics. On the extreme end of this applied math, they’re creating machine learning models and artificial intelligence. Finally, their results need to be given to the business in an understandable fashion. A data scientist can create a data pipeline after a fashion.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

Loom Systems

FEBRUARY 7, 2018

Neill Gernon (@NeillGernon ): Neill is the MD of Atrovate , and sheds light on various core concepts of topics on AI and Machine Learning. Her research comprises of topics in neuroscience, machine learning and developmental psychology in order to relate robots and feelings together as this is what she has always envisioned.

Artificial Inteligence 62

Artificial Inteligence Artificial Intelligence Technical Review Machine Learning 62

Hypergrid

MARCH 24, 2020

The Google Cloud Platform has definite advantages when it comes to machine learning and large-scale analytics. Companies however, want to be able to move out in the same fashion as they migrated in. Oracle Gen2 has a stellar reputation when it comes to bare metal applications and security.

Cloud 52

Cloud Google Cloud Azure Architecture 52

CIO

MAY 1, 2024

Gen AI takes us from single-use models of machine learning (ML) to AI tools that promise to be a platform with uses in many areas, but you still need to validate they’re appropriate for the problems you want solved, and that your users know how to use gen AI effectively.

Generative AI 341

Generative AI Artificial Inteligence Metrics Training 341

Protera

SEPTEMBER 25, 2018

The reasons, as we’ve said before, aren’t because of shiny new features, but good old-fashioned cost benefit analysis. New tools support better analytics, IoT, integration, machine learning, artificial intelligence and big data. Cloud innovation in other areas has been just as rapid. Integration Unifies the Public Cloud.

Cloud 58

Cloud Off-The-Shelf Artificial Inteligence Serverless 58