Enterprise deployment of artificial intelligence (AI) is positioned for tremendous growth. Artificial intelligence is set to change the business world by improving predictive analytics, sales forecasting, customer needs, process automation and security systems. IBM's Global AI Adoption Index revealed that a third of those surveyed will be investing in AI skills and solutions over the next 12 months. The latter group might include people in leadership, sales, finance, human resources and operations. This is where AI will shine, empowering business teams to make AI-driven decisions.

Digital transformation using artificial intelligence (AI) and hybrid cloud has accelerated amid the pandemic and studies have shown that these technologies will play a big role in helping companies to reinvent the ways of working and gain competitive advantage. In a recent conversation with CXOToday, Viswanath Ramaswamy Vice President, Technology, IBM Technology Sales, IBM India / South Asia, explains how hybrid cloud has emerged as the fundamental enabler of digital transformation today and with the more recent innovations in AI, how enterprises can operate, respond, and emerge stronger post-pandemic. He also touched upon the significant skills gap that exists in the market and how companies can help bridge the same. Hybrid cloud is today's business imperative, but is India ready for a hybrid cloud future? What role is IBM playing in developing cloud innovation among Indian businesses?

Using Node.js and React components, create a web app that takes audio from your microphone or from a file and transcribes the speech into text. The app uses IBM Watson Speech to Text to provide a selection of models, with support for multiple languages. Watson Speech to Text is available on IBM Cloud and with the Watson API Kit on IBM Cloud Pak for Data. Built with React components and a Node.js The audio is streamed through a WebSocket to allow real-time transcription.

Leveraging AI-based tools has become an essential piece of the puzzle for many companies in their efforts toward digital transformation--yet this adoption is still often a hurdle for many IT leaders. While 43% businesses reported accelerating AI tools during COVID-19, according to Todd Moore, vice president, Open Technology, IBM, 59% of IT leaders recently admitted that the new technology felt threatening to them, as TechRepublic recently reported. Palantir for IBM Cloud Pak for Data, powered by Red Hat OpenShift, is presenting a solution for this, by giving tools to developers to connect data and AI models, even those without high-level technical expertise. Designed around the "no-code/low-code" framework, which has become increasingly popular as a springboard to launching AI projects, the product integrates IBM Cloud Pak for Data services with Palantir Foundry, a data and analysis platform. No-code offers tools and platforms for simplifying the software development--the kind of software that might be used on platforms like Facebook, Lyft and Google Docs, which was traditionally created with code.

Using Node.js and React components, create a web app that generates human-like audio from text. The app uses IBM Watson Text to Speech to provide a selection of voices with support for multiple languages and genders. Watson Text to Speech is available on IBM Cloud and with the Watson API Kit on IBM Cloud Pak for Data. Built with React components and a Node.js Various voices (male and female) are available, covering many languages and regions.

AI adoption is critical for business success in the changing, competitive market. A HIMMS and IBM study found that 64% of respondents said their organizations placed a “critical” or “high” strategic priority on AI. However, many organizations are still reluctant to fully adopt AI into their processes and decision-making for fear of the unknown. “To many who aren’t data scientists, AI is still a black box and that scares us,” says Kelly Combs, Director of Emerging Technologies Risk Services at KPMG. So how do organizations go about establishing trust in their AI? The answer lies in leadership buy-in, automated checks and balances, and access to clean and complete data. Here are three ways organizations can work to establish trust in their AI: 1. Unite your people and processes around strategic AI through education and information architecture Culture and strategy often trickle from the top of an organization down. This is why it is important to rally leaders and…

AI technologies have the power to deliver critical business insights, but maintenance and implementation can dramatically drain organizational resources. Rather than worrying about maintaining complex analytics and AI tools, business leaders are looking to take actions on the insights those technologies bring. Today, we announce the upcoming general availability of IBM Cloud Pak for Data as a Service with IBM Cloud Satellite. IBM Cloud Pak for Data as a Service provides integrated data and AI services that simplify and deliver a unified analytics experience across distributed cloud environments. Fully managed on the IBM Cloud, the solution provides data and AI governance and is scalable to your business needs.

2020 has been a transformational year with the majority of enterprises either thriving or doing their best to adapt to the new normal. In order to not only endure, but to succeed, organizations must innovate by accelerating transformation and infusing intelligence and automation into their business processes. The latest version of IBM Cloud Pak® for Data, IBM’s end-to-end data and AI platform, is packed with capabilities to drive this essential transformation. Combining a comprehensive set of IBM open source and third-party services within an integrated platform, the enhancements within version 3.5 build upon the existing benefits of the platform in two critical areas: (1) cost optimization and (2) innovation to drive digital transformation. Whether in the form of advanced automation; streamlined management and fully integrated services to optimize costs; or driving innovation with accelerated AI, improved governance and an expanded ecosystem; the platform provides the foundation for successful AI on any cloud. Read more and join the…

Every sector in the world is currently investigating artificial intelligence (AI). Groundbreaking advancements in AI will take place in health and life sciences, cyber-intelligence, smart cities and transportation. But before anyone can execute an AI strategy, they'll need a data strategy. When we think about the vast majority of the work that data scientists do, 85% of that work is associated with data governance, cleansing, tagging and classification of data--all elements that are embodied in the concept of a data strategy. Thus, harnessing the power of data with AI requires understanding the data sets required and how relevant they are to the insights we are trying to drive.

This is part of the Learning path: Get started with IBM Streams. In this developer code pattern, we will be streaming online shopping data and using the data to track the products that each customer has added to the cart. We will build a k-means clustering model with scikit-learn to group customers according to the contents of their shopping carts. The cluster assignment can be used to predict additional products to recommend. Our application will be built using IBM Streams on IBM Cloud Pak for Data.