Enterprises are shifting towards edge computing as part of their digital transformation journey to the hybrid cloud. Part of this shift allows enterprises to run and maintain their business and innovate rapidly because of the influx of data creation and consumption at the source. Red Hat® Enterprise Linux® provides a consistent, flexible, and security-focused foundation that maximizes system stability with workload independence at the edge.
AI (Artificial Intelligence) technology is now poised to transform every industry, just as electricity did 100 years ago. Between now and 2030, it will create an estimated $13 trillion of GDP growth. While it has already created tremendous value in leading technology companies such as Google, Baidu, Microsoft and Facebook, much of the additional waves of value creation will go beyond the software sector.
This AI Transformation Playbook draws on insights gleaned from leading the Google Brain team and the Baidu AI Group, which played leading roles in transforming both Google and Baidu into great AI companies. It is possible for any enterprise to follow this Playbook and become a strong AI company, though these recommendations are tailored primarily for larger enterprises with a market cap/valuation from $500M to $500B.
Emerging technology — from the introduction of assembly lines to the Internet of Things — has always defined manufacturing.
With the creation of computers and early automation came traditional machine vision, in which machines analyze photos of parts and components for defects based on a set of human-defined rules. While it reduces human error, traditional machine vision lacks the capacity to solve for pain points like complex defects and changing environments.
Today, more sophisticated artificial intelligence (AI), including machine learning (ML) and deep learning (DL), allows manufacturers to use AI-powered visual inspection to enhance quality and reduce costs. But even now, only 5% of manufacturing companies have a clearly defined strategy for implementing AI.
Companies need strategies to overcome challenges in visual inspection, which still relies heavily on human inspectors or inflexible rules-based machine vision. The cost of sending defective pieces to customers — both in reputation and in recalls — isn’t sustainable in a competitive global environment.
The right AI platforms offer tools that can enhance quality control and cut costs — after users tackle key obstacles.
Landing AI’s industrial AI platform consists of a suite of interconnected tools that enables you to build, deploy, manage and scale AI solutions for visual inspection in an end-to-end workflow.
Designed from the bottom up to enable manufacturers to take projects from concepts to scalable solutions with speed, LandingLens minimizes customization and scaling challenges. While AI models are unique, leveraging universal tools can expedite complex projects. Built for evolving data, LandingLens is comprised of a suite of tools to automate machine learning for industrial vision.
As the AI tide takes over all industries, Landing AI’s most innovative, effective, and easy-to-use AI-powered vision inspection platform enables manufacturers to achieve high-quality output. Landing AI offers immense value to its customers through its robust and adaptive AI algorithms, which is constantly improved by some of the best technical minds in the industry and seamlessly updated at the customer site through the cloud. The visionary leadership of Dr. Andrew Ng, the highly driven techno-commercial team, strong vision inspection domain knowledge, and resilience toward ensuring customer success well position Landing AI to remain a market leader in this space.
With its strong overall performance, Landing AI has earned Frost & Sullivan’s 2020 Enabling Technology Leadership Award in the global AI-powered vision inspection industry.
This white paper is intended for senior enterprise architects and CIOs concerned that their business needs have outgrown their legacy information systems’ ability to deliver tangible business value.
The paper highlights the costs and risks of remaining on those systems, reasons to consider more modern alternatives, and key considerations to keep in mind.
It answers two critical questions:
Similar to a seatbelt, keeping software updated through patch management is a crucial security feature. However, the complications of patching in the past have led many IT managers and business owners to opt out of patching altogether. In this white paper, we’ll cover:
Is your business or IT team doing all it can to secure devices? With users connecting from anywhere and network perimeters dissolving, this year has quickly turned in to one of the most transformational years for cybersecurity. Now is the time to ensure your security is modernized and ready to take on the latest attack methods.
This white paper will walk you through:
TeamSupport recently issued a major industry report in collaboration with ServiceXRG called Customer Support Transformation: The Guide to Essential Practices and Metrics. This report examines important trends in customer support delivery and offers tangible guidance for customer support and service professionals to meet growing expectations of both customers and company executives.
This report examines:
Download the report to learn more.
In the healthcare industry, it is important for groups to have a streamlined process that is both cost and time efficient.
GroupID with Imanami can help ensure that groups have a seamless lifecycle, efficient permissions management, enforced group attestation, and an easy way to manage all aspects of group membership, security, and hierarchy management.
The savings in time is substantial.
IT is under immense pressure to keep the business-side happy and productive while reducing costs. GroupID is your solution.
In this guide with Imanami, learn how GroupID can help group management, transfer ownership, and increase security for members while streamlining processes and saving time and money.
At Eaton, we've always strived to get to know IT pros and their needs by listening to them directly. Recently we launched My IT Galaxy, a questionnaire-slash-infographic creator, where nearly 900 IT pros told us about their day-to-day realities, infrastructure, and stance on pizza toppings.
Our survey included a spectrum of environments, organizations and industries, including education, healthcare, finance, and retail. And so, a whole galaxy of IT insights was born. Here are some of the results.
At Eaton, we've always strived to get to know IT pros and their needs by listening to them directly. Recently we launched My IT Galaxy, a questionnaire-slash-infographic creator, where nearly 900 IT pros told us about their day-to-day realities, infrastructure, and stance on pizza toppings.
Our survey included a spectrum of environments, organizations and industries, including education, healthcare, finance, and retail. And so, a whole galaxy of IT insights was born. Here are some of the results.
Data-driven leaders understand data fuels innovation, drives business value, builds market share, and optimizes operations. But transitioning to data-driven culture doesn’t happen overnight. We’re bringing you expertise and real life examples to help navigate the process.
Join our panel of data experts as they discuss the opportunities data can unlock and the challenges you might face throughout your journey to becoming a data-driven organization.
At the grand old age of 51, LIBOR (London Inter-Bank Offered Rate) has reached retirement with its expiry date set for the end of 2021.
SOFR is the new benchmark for all dollar-denominated loans and securities and is based on transactions in the U.S. Treasury repo market. However, the switch from LIBOR to SOFR will create complexities that must be overcome if GPs are to produce transparent, on-demand reporting that will satisfy LPs.
In this whitepaper, learn how the flexible architecture of Allvue's system allows it to evolve with the investment industry, making a future proof solution for all investment needs.