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IBM's Announcement at the 2021 Think Conference to Accelerate Digital Transformation 

Writer's picture: Shreyasi BoseShreyasi Bose
“We will look back on this year and last as the moment the world entered the digital century in full force,” said IBM Chairman and CEO Arvind Krishna. “In the same way that we electrified factories and machines in the past century, we will use hybrid cloud to infuse AI into software and systems in the 21st century. And one thing is certain: this is a future that must be built on a foundation of deep industry collaboration. No one understands this better than IBM, which is one of the reasons we are boosting investment in our partner ecosystem. Also at Think 2021, we are unveiling our latest hybrid cloud and AI innovations – the very technologies that serve as the building blocks of a new IT architecture for business.”


At IBM's Think conference, the company announced developments in artificial intelligence (AI), hybrid cloud, and quantum computing. The new products illustrate IBM's role in assisting clients and partners in accelerating digital transitions, returning to work smarter, and creating strategic ecosystems that can improve business outcomes.


Since we recognize that companies need a straightforward and credible roadmap to modernizing their mission-critical systems, IBM is all-in on hybrid cloud and AI. According to a new IBM report on AI adoption for industry, the need to integrate AI into business processes became even more critical during the pandemic.


According to the survey, 43% of IT professionals said their businesses had accelerated their AI rollout. Nearly half of the global IT professionals polled said that the ability to automate processes is one of the most important factors in evaluating AI providers. That is why IBM has put a significant amount of effort into developing rich and efficient AI capabilities for market.


Source: AiThority.com

New Systems Combine data and artificial intelligence


With Cloud Pak for Data, AI can help customers access, unify, and manage data from anywhere:


A revolutionary feature in Cloud Pak for Data that uses AI to help customers get answers to distributed queries up to 8x faster than before and at a fraction of the cost of other data warehouses.


AutoSQL (Structured Query Language) automates how customers view, incorporate, and handle data without having to transfer it, regardless of where it is stored or how it is accessed.


Customers are minimizing the difficulty of data curation for AI and minimize the high cost of transporting data, while also uncovering hidden knowledge to allow more accurate AI-driven predictions. AutoSQL addresses one of the most important pain points customers are facing.


With the addition of AutoSQL, IBM Cloud Pak for Data now provides the fastest cloud data warehouse on the market (based on our benchmarking study) that can run in any hybrid multi-cloud environment, including private clouds, on-premises, and any public cloud. In the Cloud Pak for Data, AutoSQL will be one of many emerging technologies woven into a new data fabric.


The new intelligent data fabric would use AI to discover, understand, access, and secure distributed data across different environments while unifying fragmented data sources across a shared data foundation, automating complex data management tasks.


Watson Orchestrate Aids Professionals in Increasing Productivity by Automating Work:


Watson Orchestrate is a new collaborative AI capability designed to help business professionals in sales, human resources, logistics, and other areas improve their personal productivity. Watson Orchestrate, which requires no IT expertise to use, allows professionals to start work in a very human way, using communication tools like Slack and email in natural language.


It also integrates with common business software such as Salesforce, SAP, and Workday®. Watson Orchestrate employs a powerful AI engine that selects and sequences the pre-packaged skills required to complete a mission, as well as connects to applications, software, data, and history on the fly.


This can help employees complete routine tasks more effectively, such as arranging meetings or obtaining permits, as well as more mission-critical tasks, such as drafting proposals or business plans.


IBM's new AI-powered automation capability, Watson Orchestrate, is designed to help people recover a considerable amount of time so they can concentrate on more strategic tasks. It was created by IBM Research and is now available in preview as part of the IBM Automation Cloud Paks, with a general release scheduled for later this year.


Field Technicians' Work is Transformed by Maximo Mobile:


IBM has released Maximo Mobile, a simple-to-use mobile app based on IBM's leading Maximo asset management solution. Field technicians who maintain physical assets such as roads, bridges, production lines, power plants, refineries, and more can benefit from Maximo Mobile.


A modern, user-friendly interface gives technicians access to the most up-to-date asset operational data at the right time. Users may use Watson AI and in-depth organizational experience to solve complex problems even in the most remote locations.


For safer, more effective operations, this powerful combination of AI, intelligent workflows, remote human assistance, and access to digital twins brings decades of industry expertise directly into the hands of technicians.


New AI is transforming how businesses create, deploy, and operate IT, as well as how they modernize applications


The Project CodeNet Dataset Helps AI Better Understand and Translate Code:


Project CodeNet, a large-scale, open-source dataset with 14 million code samples, 500 million lines of code, and 55 programming languages, is being released by IBM Research to help AI understand and translate code.


Code search (automatically translating one code into another, including legacy languages like COBOL); code similarity (identifying overlaps and similarities among different codes); and code constraints (customizing constraints based on a developer's specific needs) are the three main use cases in coding today.


Mono2Micro Makes Cloud Migration Easier:


WebSphere Hybrid Edition also includes a new feature that allows businesses to simplify and modernize their applications for hybrid cloud deployment. IBM Mono2Micro analyses large enterprise applications and makes suggestions on how to better adapt them for cloud migration using AI developed by IBM Research.


It can reduce costs and increase ROI by simplifying and speeding up an error-prone operation. IBM Mono2Micro is one of IBM's AI-powered products and services that can help you transition to the cloud more quickly.


Some Leading Brands are Adopting IBM Hybrid Cloud and AI Solutions


COVID Response for CVS Health is fueled by IBM Watson Assistant:


As the US rolls out its Covid-19 vaccine initiative, IBM is partnering with CVS Health, a leading diversified health services provider, to help the national health care company tackle a tenfold increase in call volume. In just four weeks, IBM Global Business Services (GBS) and CVS Health built and deployed a customer support solution on IBM Public Cloud using IBM Watson Assistant. CVS Health was able to rapidly and reliably respond to a variety of questions on COVID-19, from testing to vaccinations, symptoms, evidence of vaccination, cost, and more, by incorporating AI and natural language processing into the vital workflow of its telephonic customer service system. This freed up human agents to address the most critical issues.


The team's rapid updates have allowed the virtual agent to tailor responses based on vaccine status across all 50 US states as government guidance has developed. After its launch in early January, the robotic voice assistant has managed millions of calls, the majority of which were completed without the help of a person, and has greatly reduced call duration.




Financial Services Center of Excellence for Hybrid Cloud is developed by EY and IBM:


EY and IBM have established a Center of Excellence to provide new open hybrid cloud solutions for the IBM Cloud for Financial Services, which are developed with Red Hat OpenShift. The solutions will focus on regulatory enforcement, digital confidence, and security, leveraging IBM technology and EY's expertise working with financial institutions to accelerate cloud adoption.


They'll be tailored to meet the unique and changing needs of financial services companies as they migrate to the cloud and transform business processes. Financial services institutions can transact with their technology partners and customers in a highly protected environment thanks to IBM Cloud for Financial Services, which integrates regulatory and enforcement requirements.


New Perks to Help Partners Succeed:


IBM announced new competencies, skills training, and incentives as part of a $1 billion commitment to help its partner ecosystem, ensuring that its partners thrive in an increasingly competitive market. IBM, for example, has developed a new competency framework to help partners demonstrate knowledge, technological validation, and sales performance in areas like hybrid cloud computing, automation, and security.

Tata Consultancy Services (TCS), an IBM ecosystem partner, has already demonstrated its ability to create an industrial and manufacturing AI solution for data scientists and AI developers. IBM is extending the availability of its Cloud Engagement Fund (CEF) to all partner categories, whether they build on, service, or re/sell IBM technology, to further its investment in ecosystem partners. CEF invests in vendors by providing substantial technological support and cloud credits to assist customers in migrating workloads to hybrid cloud environments.



The CEF is assisting IBM partners in scaling, as shown by BM's partnership with Siemens Digital Industries Software. Siemens will use IBM's open hybrid cloud strategy, which is based on Red Hat OpenShift, to expand the deployment versatility of MindSphere, Siemens' industrial IoT-as-a-service solution.


IBM Moves Quantum Computing a Little Closer towards Everyday use


The Qiskit Runtime Software doubles the speed of quantum circuit processing:


With the introduction of Qiskit Runtime, IBM is making it quicker and easier for developers to use quantum applications. Instead of running much of its code on the user's device, this programme is containerized and hosted in the hybrid cloud.


Qiskit Runtime can now raise the speeds of quantum circuits, the building blocks of quantum algorithms, by 120 times thanks to improvements in both software and processor efficiency. Qiskit, an IBM-developed open-source quantum computing platform for a global developer community, aims to make quantum computing available to everyone.


IBM's Qiskit Runtime allows quantum systems to perform complex calculations including chemical modelling and financial risk analysis in hours rather than weeks. To demonstrate the software's capabilities, IBM recently demonstrated how the lithium hydride molecule (LiH) could be modelled on a quantum computer in nine hours, compared to 45 days previously. This type of advancement is critical for scaling quantum computing for new applications.

The announcements made today at IBM's Think event come only days after the company announced the world's first two-nanometer processor, which will allow faster, more powerful computing from the data centre to the edge. Spectrum Fusion, a fully-containerized version of IBM's storage and data protection software designed to provide a seamless way to discover data from around the enterprise; Cloud Engine, a front-end framework that can help developers rapidly deploy cloud-native applications without having to learn new skills or configure complex code ; and IBM's Zero Trust partnership with Zscaler, in which IBM Security Services integrates Zscaler's technology with IBM's expertise to help clients implement an end-to-end safe access service edge (SASE) approach that marries authentication and permission to deliver security and privacy enhancements.



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To help their work, Newsmusk allows writers to use primary sources. White papers, government data, initial reporting, and interviews with industry experts are only a few examples. Where relevant, we also cite original research from others respected publishers.



Source: Enterprise Talk


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