O'Reilly Media - Ideas

MARCH 24, 2020

This is the garbage in, garbage out principle: flawed data going in leads to flawed results, algorithms, and business decisions. If a self-driving car’s decision-making algorithm is trained on data of traffic collected during the day, you wouldn’t put it on the roads at night. No other supervision is required!”

Data 141

Data Machine Learning Artificial Inteligence Weak Development Team 141

Altexsoft

JULY 23, 2020

Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. The same survey shows that putting a model from a research environment to production — where it eventually starts adding business value — takes between 8 to 90 days on average. Training never ends. MLOps vs DataOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Hacker Earth

MARCH 29, 2018

IoT devices, sensors, and telematics have been fast gaining adoption in the insurance sector. ZhongAn , China’s first online-only insurance technology company, uses AI, machine learning, and big data to “simplify insurance, price risk more finely and distribute cheaply to a mass market via the internet.”. Blockchain.

Insurance 48

Insurance Industry Technology Artificial Inteligence 48

Altexsoft

JUNE 26, 2023

All successful companies do it: constantly collect data. They track people’s behavior on the Internet, initiate surveys, monitor feedback, listen to signals from smart devices, derive meaningful words from emails, and take other steps to amass facts and figures that will help them make business decisions. No wonder only 0.5

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

FEBRUARY 24, 2023

Kubernetes advantages The 2021 Annual Survey by the Cloud Native Computing Foundation (CNCF) shows that 96 percent of organizations are already using or at least evaluating Kubernetes. Kubernetes website: documentation, training courses, and more The Kubernetes official website is a good starting point to get familiar with Kubernetes.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

IDC

JULY 23, 2019

Some of us at IDC have been directly involved in training designed to help IT suppliers improve the positioning of products and services in relation to high-level goals and divisional or departmental use cases. CX may use hyperscale or multicloud platforms to support data and omni-channel integration. Use Cases and New Revenue.

IoT 45

IoT Artificial Intelligence Artificial Inteligence Big Data 45

Hu's Place - HitachiVantara

JANUARY 3, 2019

A 2016 Forbes article published a survey of data scientists which showed that most of their time, 80%, is spent on massaging rather than mining or modeling data. In addition to the tasks noted above one needs to understand that data scientists do not work in isolation.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Palo Alto Networks

MARCH 2, 2020

If existing security risks are not dealt with and roll over, mobile ISPs could be the first point of failure during a cyberattack, and vulnerabilities, such as unsecured IoT systems, could be amplified exponentially under 5G if not addressed at 4G. Navigating IoT will become a minefield for everyone.

IoT 54

IoT Wireless Cloud Policies 54

Datavail

SEPTEMBER 8, 2022

Big data presents challenges in terms of volume, velocity, and variety—but that doesn’t mean you have to suffer from a bloated IT ecosystem to address these challenges. In fact, many businesses can realize significant advantages from streamlining their data integration pipelines, trimming away unnecessary tools and services.

Data 40

Data Nonprofit Quality Assurance Education 40

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Introducing data engineering and data science expertise.

Analytics 102

Analytics Technical Review Technology Applications 102

Palo Alto Networks

JANUARY 7, 2021

Our recent IoT security research report found more non-business devices are coming onto networks, with everything from connected teddy bears to medical devices and electric vehicles now needing to be secured alongside business IoT. This includes ensuring people step away and take a break, with training to recognise signs of fatigue.

IoT 52

IoT Software Review Cloud Systems Review 52

Altexsoft

FEBRUARY 8, 2021

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

SEPTEMBER 23, 2020

You don’t see it screaming at you from headlines, startups are not using it on the landing pages, and it’s slowly climbing up Garner’s Hype Cycle for Healthcare Providers , overpassed by medical IoT, Blockchain, and analytics. Here’s how precision medicine will work: Different types of data about a patient is collected.

Healthcare 64

Healthcare Analytics Technical Review Software Review 64

Altexsoft

JANUARY 11, 2019

Machine learning and data science advisor Oleksandr Khryplyvenko notes that 2018 wasn’t as full of memorable breakthroughs for the industry, unlike previous years. The more relevant features we create and use to train an ML model during feature engineering , the more accurate results we can get and the simpler our model is.

Artificial Inteligence 94

Artificial Inteligence Artificial Intelligence Trends Data 94

Altexsoft

APRIL 13, 2023

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. Let’s look at what they say in recent surveys. The readings from IoT sensors and other connected devices (e.g., Train staff and set up processes.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Coforge

AUGUST 31, 2020

The drastic shift from traditional and orthodox system frameworks and operations can be unarguably attributed to the influx of intelligent technologies such as Artificial Intelligence, Machine Learning, Big Data, Blockchain/DLT led smart contracts, and widespread usage of cloud systems. .

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Altexsoft

MARCH 14, 2023

Data may come from hundreds (or sometimes thousands) of different sources, including computers, smartphones, websites, social media networks, eCommerce platforms, and IoT devices. Data sources component in a modern data stack. The third generation of Uber’s Big Data platform.

Data 59

Data Technical Review Software Review Artificial Inteligence 59

BPM

JANUARY 18, 2019

This fragmentation could deal a killer blow to the promise of large-scale adoption: A Gartner survey found 24% of respondents cited scaling RPA as their number one problem. As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

CTOvision

DECEMBER 15, 2014

One of the federal government’s key procurement arms, the General Services Administration (GSA), has released a survey to the tech community in the form of a request for information asking a few simple questions regarding the experience of their vendor base. Big Data Cyber Security DHS DOD DoD and IC Government News'

Security 120

Security Government Technology Artificial Intelligence 120

CTOvision

JULY 8, 2015

Enterprises have rushed to embrace the cloud, driven by mobile and the Internet of Things (IoT), as a way of keeping the invasion of devices connected – spelling the end of ECM as we know it. What we will see is a massive growth in big data and a transformation in ECM to deal with this change. The IoT uprising.

Enterprise 117

Enterprise Mobile IoT Survey 117

Altexsoft

OCTOBER 17, 2019

US company executives that participated in the Data trust pulse survey by PricewaterhouseCoopers noted that unreliable data is one of the obstacles to monetizing data. Data quality team: roles and responsibilities. Documenting the ROI of data quality activities. Data monitoring and remediation.

Tools 16

Tools Data Technical Advisors Technical Review 16