A specialist technology app store and artificial intelligence for contract drafting are among the technologies likely to be adopted by the legal arm of Big Four firm Deloitte in an attempt to bridge the gap between startup companies and clients. Deloitte Legal said today that it had'hand-selected' 14 startups after evaluating 400 businesses for its Deloitte Legal Ventures programme. In a significant departure from previous lawtech incubator schemes, Deloitte Legal has said it will become a user of products and services offered by the chosen startups. These include execution technology, artificial intelligence, data analytics and predictive analytics, the firm said. Among the 12 companies named today are Genie AI, a UK pioneer in artificial intelligence and Reynen Court, an online platform designed to simplify the process of buying legal technology.

If you read almost any article about the future of the accounting industry, you might be inclined to make a dramatic career shift. The statistics point to massive technological change. According to findings from a 2017 PwC study, 40% of the accounts payable process can be automated; other findings show that accounting and bookkeeping jobs are at the highest risk from digital disruption in the next 20 years. On its surface, this data might lead you to assume that AI and automation are like ruthless villains coming for our jobs. But the outlook doesn't have to be bleak.

A full 84% of C-suite executives believe they must leverage artificial intelligence (AI) to achieve their growth objectives. Nearly all C-suite executives view AI as an enabler of their strategic priorities. And an overwhelming majority believe achieving a positive return on AI investments requires scaling across the organization. Yet 76% acknowledge they struggle when it comes to scaling it across the business. What's more, three out of four C-suite executives believe that if they don't scale AI in the next five years, they risk going out of business entirely.

In my last blog I talked a lot about the changes CISOs are seeing today. A critical part of the role of the future CISO will likely be to play the long game when it comes to technology. A good CISO will need to keep a finger on the pulse of technological change, opportunities and risks, helping guide an organization through rapid transformation and almost continuous marketplace disruption. In a digital future, it's not enough to talk about technology'enabling' enterprise, or technology being'integrated' into business processes - technology is the enterprise; it is the business process, and discussing it any other way limits our ability to fully grasp it. We frequently discuss the growing skills gap and the need to recruit more talent as one of the primary challenges of our day; but future CISOs may be working with a security team significantly diminished in size.

Risk managers are grappling with a fear of the unknown. AI hasn't been adopted at a large scale and the unintended consequences aren't fully documented, according to Steve Culp, senior managing director for finance and risk at management consulting firm Accenture PLC. "Before there were ships," he said, "we never had shipwrecks." Eleven percent of risk managers in banking, capital markets and insurance say they aren't fully capable of assessing AI-related risks, according to a survey of 683 risk managers in nine countries released this week by Accenture. Respondents expressed a similar comfort level with assessing the possible downsides associated with blockchain technology, quantum computing and other emerging areas of technology.

Today Artificial Intelligence and Machine Learning are penetrating every aspect of business, from Chatbots being deployed to assist customers to AI-driven platforms being harnessed to automate sales processes. From powering Apple's Siri and Microsoft's Cortana to Google's Allo, AI is promising a better future. At Codea, we offers AI consulting services in Newyork,USA and help businesses build cutting-edge AI solutions that enable them to achieve a first-mover advantage to be a leader in the better future.

Artificial intelligence is here, but businesses have barely scratched the surface of the impact it can have. Instead of supercharging their growth, some companies are finding themselves stuck with proof-of-concept experiments that end up going nowhere. Leaders need to create the right company culture to inspire, build and empower a workforce fit for the AI age. While the'how' remains a challenge, the emerging problems are actually the'why' and the'who'. Leaders see attracting the right talent and competing investment priorities as the two top barriers to AI adoption.

It turns out that we might be at the perfect storm where how we store and access financial information combined with the maturation of tech capabilities are all in place to accelerate the digital transformation of accounting and finance. Just as others who faced the prospect of machines taking over jobs that used to be done by humans, accounting and finance professionals might anticipate the reality of 4th Industrial Revolution with fear. Actually, when machines take over repetitive, time-consuming and redundant tasks, it will free human finance professionals to do higher level and more lucrative analysis and counseling for their clients. Let's take a look at just of the few opportunities that are now available thanks to the digital transformation of accounting and finance. According to consulting firm Accenture, "automation, minibots, machine learning and adaptive intelligence are becoming part of the finance team at lightning speed."

Artificial Intelligence (AI) has the potential to completely redesign the way in which businesses operate across functions, including customer service, marketing, and finance. There are numerous Artificial Intelligence development companies who can help you in developing modern AI-powered solutions for your business. But as it is the case with other emerging technologies, there are challenges, and Artificial Intelligence isn't an exception. According to a new survey carried out by MIT-Boston Consulting Group, 85% of executives believe Artificial Intelligence will transform business, but only 20% of companies are using it in some way, and just 5% make extensive use of it. The adoption of Artificial Intelligence is very low because of the obstacles which come in the way of adopting the technology.

Factories are increasingly deploying artificial intelligence and analytics, with manufacturing companies turning to digital automation to create cheaper and faster production processes. Many of these companies are just starting to find ways to deploy these new technologies. A recent article in Enterprise IoT Insights, described how "factories are bustling with innovation experiments, as industrialist are availed of ever-more sophisticated digital trends." In the article, "AI--On the line," I offered some insights and KPMG viewpoints into efforts to bring higher-order automating intelligence to the production line. Some companies have already made strides in the digital transformation of their factories.