This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
21, 2023 — MxD, the Digital Manufacturing and Cybersecurity Institute, today hosted a roundtable discussion with the White House Office of the National Cyber Director. Each participating organization is committed to developing cyber skills and programs to train the workforce across a wide range of industries, including manufacturing.
Manufacturing has undergone a major digital transformation in the last few years, with technological advancements, evolving consumer demands and the COVID-19 pandemic serving as major catalysts for change. Here, we’ll discuss the major manufacturing trends that will change the industry in the coming year. Industry 4.0
Harter Secrest & Emery’s privacy and data security clients range from Fortune 100 corporations to closely-held businesses in a wide range of industries, including healthcare, financial services, data analytics/big data, retail, education, manufacturers, defense contractors, and employers of all sizes.
For industries like manufacturing, healthcare, and energy, this downtime doesn't just mean a temporary hiccup; it leads to significant financial losses, decreased productivity, and even safety risks. Predictive maintenance offers a solution by using AI-powered analytics and real-time data to forecast when equipment is likely to fail.
BlueRidge AI integrates the Internet of Things, machine learning and predictive analytics to enable manufacturers to transform their operations into globally competitive operations. According to the U.S. Attila and Prevailion founders are intelligence community veterans.
Industrial control systems (ICS) are the backbone of critical infrastructure, powering essential operations in the energy, manufacturing, water treatment, and transportation sectors. These systems are integral to the smooth operation of industries such as manufacturing, power generation, oil and gas, water management, and more.
Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. Automotive With applications of AI, automotive manufacturers are able to more effectively predict and adjust production to respond to changes in supply and demand. See what’s ahead AI can assist with forecasting.
In this episode of the podcast, we bring you the second installment of our interview with Jeremy O’Sullivan of the Internet of Things analytics firm Kytch. The first part is here.) We hear about how what Kytch revealed about Taylor’s hardware put him at odds with the company and its long-time partner: McDonald’s.
Healthcare, insurance and education are more hesitant due to the legal and compliance efforts to which they must adhere—and the lack of insight, transparency and regulation in generative AI. In the realm of sales, generative AI boosts team performance by providing deep analytics and insights into customer behavior.
Speakers represented life sciences, healthcare, manufacturing, retail, consumer goods, financial services, consulting services, and hi-tech. Personalize Customer 360” covering the top of the mind topics in master data management and customer 360, big data analytics, data science and business facing data-driven applications.
” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 ManufacturingManufacturers often encounter various challenges, such as unforeseen machinery breakdowns or issues with product deliveries.
There are also many specific use cases for education, healthcare, manufacturing, government and financial services. Each solution places a heavy emphasis on auditing and reporting, which is valuable for organizations that are subject to strict compliance regulations. Firewall Analyzer.
Risk-based analytics: Considers the level of risk as the context for the level of permission needed to access systems, applications, and data. User and entity behavior analytics (UEBA) : Monitors behavior of users, hardware, and network traffic to detect and potentially block abnormal and malicious activity.
These solutions are designed to acquire, classify, validate, and convert business inputs into valuable data for use in business transactions, analytics, records management, discovery, and compliance applications. All business inputs are interpreted to understand the content, and where and why it is needed.
It would access vast customer data and combine it with real-time analytics for efficient and personalized service. Education Imagine an AGI tutor who doesn’t present information but personalizes the learning journey. The AGI analyzes the data and identifies a rare genetic mutation linked to a specific disease.
Theft of business strategy is just one threat that is universal in the corporate and manufacturing worlds. Training your workforce to recognize behaviors that are red flags for insider threats, and educate them on enterprise policies. Your competition now knows your pricing, your sales strategy, and your product roadmap.
LogicManager’s GRC solution has specific use cases across financial services, education, government, healthcare, retail, and technology industries, among others. Strategic analytics (built into the platform through Riskonnect Insights) provide intelligence by surfacing, alerting, and visualizing critical risks to senior leadership.
And it gives them the ability to do so much younger in life than many others do and with much less formal education; I care much more about skills than degrees in tech people, but my doctor / lawyer / pilot better have a heap of formal qualifications from many years of study behind them! I regret that I had to learn French in high school.
Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. DRM is used by publishers, manufacturers and IP owners for digital content and device monitoring” (Techopedia 2021). Data Analytics. AI using machine learning (ML) involves processing samples of data to learn.
LogicManager’s GRC solution has specific use cases across financial services, education, government, healthcare, retail, and technology industries, among others. Strategic analytics (built into the platform through Riskonnect Insights) provide intelligence by surfacing, alerting, and visualizing critical risks to senior leadership.
Long before Gen AI became such a hot topic, many analytical organizations were highlighting the importance of automation and its huge potential to help the business. Simply having rules in place is not sufficient; ensuring that people are aware of them and adhere to them requires training, education, and regular audits.
Thirty percent of those incidents occurred in manufacturing organizations. It means physically securing servers and user devices, managing and controlling access, application security and patching, maintaining thoroughly tested, usable data backups and educating employees.
Group-IB’s report Hi-Tech Crime Trends 2020/2021 examines various aspects of cybercrime industry operations and predicts changes to the threat landscape for various sectors, namely the financial industry, telecommunications, retail, manufacturing, and the energy sector.
So, there’s the question of liability, i.e., whether the software developer or manufacturer are held to a standard of strict liability, and what kind of ethical considerations are involved. With driverless cars and taxis, you’re going to see injuries in some cases.
Sector-Specific Opportunities : The report identifies significant opportunities in sectors with advanced digital transformation, such as Banking, Insurance, Healthcare, and Manufacturing. Sectors with lower digital maturity, such as Legal and Education, show varied deployment speeds.
We organize all of the trending information in your field so you don't have to. Join 55,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content