From biometrics and computer vision to smart devices and self-driving cars, emerging trends are fuelling the AI craze
Artificial intelligence is the technological blow that took the world by storm. When the term ‘artificial intelligence’ was first coined at a conference, no one imagined that one day, it will replace all the repetitive jobs and relieve humans from performing heavy labour works. The advent of the internet helped technology to progress exponentially. Artificial intelligence stood alone for the past three decades, and now, it is streamlining with widespread sub-technologies and applications. From biometrics and computer vision to smart devices and self-driving cars, emerging trends are fuelling the AI craze.
ERP, when armed with IoT data, will help organizations to gain vital business-related insights instantaneously. The continuous stream of data enables enterprises to carry out real-time analysis, which will help them gain actionable insights to make tactical and quick decisions that will increase the revenue generation significantly. Besides, with IoT, organizations can consider integrating ERP systems with AI and ML so that employees get smart suggestions to make optimal decisions. ERP solutions promise to cut down an organization’s pressure to maintain the complex business operations, allow team collaboration, and deliver real-time actionable insights for making the best possible decisions. With every core business function assimilated in one platform, companies can eliminate paperwork and records management, become more efficient and productive at work, and also automate time-consuming tasks. The standard ERP system, already capable of doing so much, is now empowered with new-age technologies like IoT and AI to function smartly and intelligently. While ERP helps companies to add efficiency and accuracy across every department, sophisticated technologies like IoT and AI when combined with ERP allow enterprises to strategize for business growth and success, benchmark against competitors, and also achieve their set goals.
Implementing AI-based technology is the most prominent and emerging SaaS trend. This trend has proved to be the best for enhancing productivity and lets you optimize your business processes. Incorporating AI tools in the software makes customer interactions easy throughout the process and automates the other moving tasks with full efficiency. With the trends comes a few risks associated with the AI tech, but Saas company has surpassed all of them as time has passed. Today, AI is considered the most contemporary and used technology, trending on the top in the SaaS market. Companies such as Amazon web services, Google Cloud, IBM Cloud, Microsoft Azure, 987etc., are leading the race to offer Artificial Intelligence-based tech in their products. They have played a massive role in molding the AI into the future of SaaS trends.
SoftServe, a leading digital authority and consulting company and Google Cloud Premier Partner has achieved the Document AI Expertise in the Google Cloud Partner Advantage Program. This Expertise reinforces SoftServe’s technical experience in revealing insights from text data and documents using artificial intelligence (AI) and machine learning (ML).
Our AI/ML competencies applied to Document AI customer use cases allow enterprises to efficiently scan, analyze, and understand their documents – Andrew Greene, AVP, Cloud Partnerships & Alliances at SoftServe
Our AI/ML competencies applied to Document AI customer use cases allow enterprises to efficiently scan, analyze, and understand their documents while reducing the costs of manual data entry and collection. We help our customers discover key insights to better understand the value in their documents by simplifying unstructured data using Google Cloud’s optical character recognition (OCR) and Cloud Natural Language technology.
In the 2020 McKinsey Global Survey on the state of AI, 50 percent of respondents said their organizations have implemented AI to automate at least one business function. The top three areas for AI adoption are service operations, product and service development, and sales and marketing. AI supports digital transformation by improving efficiency and scalability, reducing errors and risk, and helping to predict customer behavior.
We’re already doing some things at Microsoft where we have AI bots in a testing loop running through the game – James Gwertzman, Head of Cloud Gaming at Microsoft
We’re already doing some things at Microsoft where we have AI bots in a testing loop running through the game, or they can watch streams and look for texture errors and geometry errors. We also see AI used for personalization. We had a project recently where we built some personalization or recommendation engines for retail. It’s being used by Walmart to make consumer recommendations. We then tried to use the exact same tech in Minecraft, for example, and it turns out it’s way more effective…. So we’re going to try and roll that out and make it more available to developers. I love finding opportunities where we find something in another industry, and we can bring it over and apply it to gaming.
Many Technologies are Defined as “Innovative” — such as Cloud Infrastructure, Artificial Intelligence, Internet of Things, and Robotics – Accenture-Israel CEO Shimon Elkabetz
Shimon Elkabetz in a media interview added that many technologies are defined as “innovative” — such as cloud infrastructure, artificial intelligence, the Internet of Things, and robotics — have existed for several years but have only recently matured. He thinks that many organizations in the industry haven’t really made use of these technologies until now, but rather regarded them as tests or side pilots, in order to assess whether they indeed contain solutions that could assist them. However, he noted that the coronavirus (Covid-19) pandemic has accelerated this process, and today many large organizations realize that they must adapt their business strategy and incorporate these innovations into their core systems. “What we do as a company is take all of these technologies and capabilities and incorporate them into the industry,” Elkabetz said.
IBM has laid the Groundwork to Rapidly Grow Hybrid Cloud & AI Business through its Partner Ecosystem
Less than two years after its Red Hat acquisition, IBM is ready to shift its ecosystem strategy into high gear. That’s according to Bob Lord, senior vice president of worldwide ecosystems and blockchain at IBM. The redesign of IBM’s partner ecosystem strategy began with the company’s $34 billion purchase of Red Hat in July 2019. The renewed strategy centered around Red Hat OpenShift, an open-source container application platform that Lord described as “a fundamental piece of platform software that enables [IBM] to activate the ecosystem at scale” and pursue hybrid cloud market opportunities. After reengineering IBM’s go-to-market approach, along with its supporting programs and resources, partners can now accelerate adoption of OpenShift-based hybrid cloud architecture and AI platforms, he said.
HCL Technologies and Claim Genius has signed a strategic agreement to jointly develop and market new AI claims management solutions
HCL Technologies and Claim Genius has signed a strategic agreement to jointly develop and market new AI claims management solutions. As part of this agreement, HCL will be providing Claim Genius’s real-time damage analysis technology for passenger vehicles to global insurance carriers. HCL is integrating Claim Genius’s platform with HCL’s core claims platform, which is widely used by carriers. Coupled with HCL’s comprehensive claims-management solutions, these new features will help clients drive new efficiencies into their claims workflow and accelerate the transformation towards a virtual and touchless claims future.
Japan: DDN’s AI-Focused Storage Solution, EXAScaler adopted as Dedicated Storage of Supercomputer System “AI Bridging Green Cloud Infrastructure”
DDN, provider of artificial intelligence (AI) and data management software and hardware solutions enabling Intelligent Infrastructure, today announced that its AI-focused storage solution, EXAScaler, has been adopted as the dedicated storage of the supercomputer system “AI Bridging Green Cloud Infrastructure,” which is currently being developed between Japan’s National Institute of Advanced Industrial Science and Technology (AIST) and Fujitsu Ltd.