Developing AI models requires a'test and learn' approach, in which the algorithms are continually learning and the data is being refined. That is very different from the way that software is developed, and a different set of tools are needed. Machines learn through the input of data, and more – and better quality – data is key to the rollout of AI.

The Big Four accounting firms, through an unprecedented investment of billions into technology, are transforming not just how they operate, but also their very identities. The tech crusade goes far beyond automating standard auditing and accounting work. Through a focus on artificial intelligence, data analytics, and massive tech training throughout their organizations, the biggest players in accounting are making tech part of their DNA. "We haven't become a pure technology firm," Christian Rast, KPMG LLP's global head of technology & knowledge said in a recent phone interview. "We are a professional services firm, but technology is core to our future."

In this special guest feature, Adam Honig, CEO of Spiro, discusses how proactive relationship management isn't leveraging AI to replace humans, but instead is helping highly paid sales professionals work more effectively and providing sales leaders with critical insights into their pipelines. As Spiro's CEO, Adam is focused on the company strategy and vision. Previously, he co-founded a software company which he led through its successful IPO and sale. Afterwards, Adam founded Innoveer, one of the largest CRM consulting firms, which was successfully acquired by Cloud Sherpas (and then Accenture). Adam is passionate about helping sales teams make more money using artificial intelligence, and is the driving force behind Spiro's proactive relationship management. Managing big data has been an ongoing challenge for companies – especially in B2B sales, where they are managing tens of thousands of leads working their way through the sales funnel.

Artificial intelligence has been taking the world by storm for quite a while now. It all begins with a sound strategy. Investing in the right systems, backing the correct responsible practices, and preparing your organization for the advent of AI is all it takes to get going. Remember, that transforming your business bit by bit might be irrelevant- what you need to do is scale. Scale your business to incorporate outcome-based AI tech, and driven to overcome business challenges that are a priority to you.

Accenture said the acquisition will further equip its clients with capabilities to meet the growing demand for enterprise-scale AI, analytics and automation solutions. On Friday (13 December), professional services company Accenture announced that it has entered into an agreement to acquire Clarity Insights. Clarity Insights, a Chicago-based data consultancy with deep data science, AI and machine learning expertise, will bring its 350 employees to Accenture's Applied Intelligence business in North America. Founded in 2008, Clarity Insights focuses on serving clients' needs from end to end, aiming to transform business processes to embed and scale AI with deeper insights from data. Accenture did not disclose the terms of the deal.

Accenture is dipping into its massive wallet again in the waning days of 2019 to buy Clarity Insights, an expert in artificial intelligence (AI) and machine learning that will add to the systems integrator's data analytics capabilities. The Lowdown: The planned acquisition of Clarity will help Accenture address the growing demand among enterprises to scale their AI and machine learning efforts and to more quickly analyze the rapidly growing amount of data that they're generating. The Details: Clarity, an 11-year-old data analytics consulting firm based in Chicago, will become part of Accenture's Applied Intelligence business, a unit that the company has been expanding both through internal innovation and acquisitions, including Knowledgent and Kogentix in 2018 and more recently Pragsis Bidoop and Analytics8 this year. Clarity's business is built around working with large enterprises from the time they launch their AI, analytics, and automation initiatives to implementing the strategy and supplying engineering capabilities. The acquisition will add almost 350 new employees to Accenture's workforce of more than 492,000.

Accenture is dipping into its massive wallet again in the waning days of 2019 to buy Clarity Insights, an expert in artificial intelligence (AI) and machine learning that will add to the systems integrator's data analytics capabilities. The Lowdown: The planned acquisition of Clarity will help Accenture address the growing demand among enterprises to scale their AI and machine learning efforts and to more quickly analyze the rapidly growing amount of data that they're generating. The Details: Clarity, an 11-year-old data analytics consulting firm based in Chicago, will become part of Accenture's Applied Intelligence business, a unit that the company has been expanding both through internal innovation and acquisitions, including Knowledgent and Kogentix in 2018 and more recently Pragsis Bidoop and Analytics8 this year. Clarity's business is built around working with large enterprises from the time they launch their AI, analytics, and automation initiatives to implementing the strategy and supplying engineering capabilities. The acquisition will add almost 350 new employees to Accenture's workforce of more than 492,000.

The morning session at SAP Ariba/SAP Fieldglass ValueX left us with some thoughts from the big consulting firms about the way procurement, and indeed business, should and will go in the coming years if we are to survive the pace of technological change the world is experiencing, and adapt our processes to respect our planet. The keynote called for a reboot of capitalism and (the environment), championed by John Penrose MP. Deloitte was quick to follow with a look at Industry 4 (automation, data exchange, cyber-physical systems (CPS), the internet of things (IoT), industrial internet of things (IIOT), cloud computing, cognitive computing and artificial intelligence and so on) in the context of procurement. They reminded us that the fourth industrial revolution is not, however, just about a collection of technologies, rather how you package and use them altogether to support your long-term business strategy. A global Deloitte survey revealed that 94% (of respondents) saw implementing digital tech and processes (aka digital transformation) as a means just to'keep up' with the rest of the marketplace.

The morning session at SAP Ariba/SAP Fieldglass ValueX left us with some thoughts from the big consulting firms about the way procurement, and indeed business, should and will go in the coming years if we are to survive the pace of technological change the world is experiencing, and adapt our processes to respect our planet. The keynote called for a reboot of capitalism and (the environment), championed by John Penrose MP. Deloitte was quick to follow with a look at Industry 4 (automation, data exchange, cyber-physical systems (CPS), the internet of things (IoT), industrial internet of things (IIOT), cloud computing, cognitive computing and artificial intelligence and so on) in the context of procurement. They reminded us that the fourth industrial revolution is not, however, just about a collection of technologies, rather how you package and use them altogether to support your long-term business strategy. A global Deloitte survey revealed that 94% (of respondents) saw implementing digital tech and processes (aka digital transformation) as a means just to'keep up' with the rest of the marketplace.

Bengaluru: The rising demand for artificial intelligence (AI), the technology that mimics the human brain, is a no brainer. However, although the number of AI professionals in India has doubled, 2,500 related positions remain vacant indicating that the number of jobs getting created in AI has outpaced the talent available in the sector, according to a study by Great Learning, India's leading ed-tech company. The number of AI professionals in the country has almost doubled from 40,000 in 2018 to 72,000 by end of 2019 and more than 3,000 companies claim to work on AI projects of some or the other kind in 2019, a growth of 200% over 2018, the report stated. Part of the job vacancy could be due to employers seeking for a combination of skills. "While tech-based skillsets such as data analytics, machine learning, and AI continued to be in great demand throughout 2019, recruiters also sought softer skillsets such as emotional intelligence, critical thinking and leadership skills. The growing convergence between technology and business processes continued to redefine job roles," said Zairus Master, CEO, Shine.com.