Artificial Intelligence is expected to permanently change the banking industry in profound ways during the coming months and years. Companies want to seek a competitive edge by implementing more technology to achieve improvements in speed, cost, accuracy and efficiency. The key for global corporate enterprise is to benefit from the collective intelligence presented by RPA and cognitive technologies along with human workers. Only by having technology combine with human talent can global corporate enterprise achieve scalable intelligent automation. And only with scalable intelligent automation enterprise resiliency be realized.

In many parts of Asia, seasonal torrential rains bring with them floods that damage property and livelihood of citizens. Whereas in the past, city administrations, citizens and businesses can do almost nothing but ride out the unwelcoming waves of flood water and the potential diseases these carry, technologies like the Internet of Things (IoT), machine learning (ML) and artificial intelligence (AI) may provide respite for more forward-looking leaders. This is the case of the DKI Jakarta Provincial Government's Flood Control System in the Jakarta Smart City application. Developed by Jakarta Smart City in collaboration with the Jakarta Water Resource Service (DSDA) to optimise flood risk management in Jakarta, the project involved the use of IoT, AI and ML as part of an early warning system against the risk of floods in the city. As more organisations deploy IoT in commercial and industrial environments, the amount of data that is derived from these devices and sensors may prove important in improving quality, operational efficiency, and in the case of Jakarta – saving lives and property from natural disasters.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Artificial intelligence (AI) is making a big splash in enterprise applications across the board, but most of the attention has gone to public-facing functions like chatbots and personal or professional assistants. But this masks the fact that much of the real action is taking place behind the scenes, in the myriad back office processes that contribute to the costs and complexities of running a modern organization. AI is not like previous generations of technology, however, which were targeted at specific operations and crafted to operate in a predefined manner. Instead, the challenge for the enterprise is to create the kind of training and development processes that allow AI to place traditionally manual processes under fully automated control – essentially assuming the day-to-day work of running the office while the labor force focuses on continued optimization and strategic development.

Today we find ourselves in another transformational era in human history where Artificial Intelligence (AI) plays an increasingly central role in this transformation. AI stands to greatly benefit all industries and is prevalent in consumer-facing applications, clerical enterprise functions, online and offline retail, autonomous mobility, and intelligent manufacturing. AI in logistics plays an important role and beginning its journey to become an AI-driven industry. We hope you will find this an insightful read, and we walk you through as How can AI be used in logistics to reinvent back office, operational, and customer-facing activities? Well, let's discuss the reason for why Logistics companies are facing an era of unprecedented change is that as New technologies are enabling greater efficiency and more collaborative operating models.

This article originally appeared in issue 28 of IT Pro 20/20, available here. The business world is fascinated with artificial intelligence (AI), with most of the excitement centred around customer-facing services. The technologies used to make a Tesla stop or embedded in the soothing voice of your virtual assistant have grabbed most of the headlines, but what about AI's role in supporting relatively unglamorous back-office functions? According to industry figures, the use of AI in supporting the HR, IT, legal and financial departments within organisations is not only well underway but maturing. In the last few years, these automations have become increasingly widespread, with some organisations now assessing whether it's viable to automate vast swathes of the business.

Artificial intelligence (AI) continues to make its way throughout the back office, exploring new areas to automate and optimize, freeing up human experts for more strategic initiatives. Today, the standard level of AI in a process like accounts payable (AP) most often appears as a technology that can automatically "read" key documents like invoices and identify and extract important information like supplier and pricing. Alexander T. Hagerup, co-founder and CEO of Vic.ai, recently told PYMNTS that AI has a far greater opportunity in the enterprise, including in AP automation. In an interview, Hagerup discussed his vision for the technology's presence in a notoriously complex and manual area of the back office and considered what the adoption curve may look like as more professionals feel comfortable with technology taking over important actions. As AI technology becomes more sophisticated, some of the most ingrained pain points of AP workflows no longer seem like difficult challenges to overcome.

Artificial Intelligence (or AI) is already being widely deployed across industries, sometimes in ways you wouldn't even have imagined. The financial sector, which is heavily regulated, may not seem like an industry that would be poised to harness cutting-edge technology. But with the right planning, regulatory experts, and smart selection of use cases, AI can be put to work for the good of the employees and customers. AI in banking and finance can also lead to huge cost savings, within different business units or channels. There are three main channels where banks can use artificial intelligence.

As the editor-in-chief of The Verge, I can theoretically assign whatever I want. However, there is one topic I have failed to get people at The Verge to write about for years: robotic process automation, or RPA. RPA isn't robots in factories, which is often what we think of when it comes to automation. This is different: RPA is software. Software that uses other software, like Excel or an Oracle database. On this week's Decoder, I finally found someone who wants to talk about it with me: New York Times tech columnist Kevin Roose. His new book, Futureproof: 9 Rules for Humans in the Age of Automation, has just come out, and it features a lengthy discussion of RPA, who's using it, who it will affect, and how to think about it as you design your career. What struck me during our conversation were the jobs that Kevin talks about as he describes the impact of automation: they're not factory workers and truck drivers. If you have the kind of job that involves sitting in front of a computer using the same software the same way every day, automation is coming for you. It won't be cool or innovative or even work all that well -- it'll just be cheaper, faster, and less likely to complain. That might sound like a downer, but Kevin's book is all about seeing that as an opportunity. You'll see what I mean. Okay, Kevin Roose, tech columnist, author, and the only reporter who has ever agreed to talk to me about RPAs. This transcript has been lightly edited for clarity. Kevin Roose, you're a tech columnist at The New York Times and you have a new book, Futureproof: 9 Rules for Humans in the Age of Automation, which is out now. Thank you for having me. You're ostensibly here to promote your book, which is great. But there's one piece of the book that I am absolutely fascinated by, which is this thing called "robotic process automation." And I'm gonna do my best with you on this show, today, to make that super interesting. But before we get there, let's talk about your book for a minute. What is your book about? Because I read it, and it has a big idea and then there's literally nine rules for regular people to survive. So, tell me how the book came together. So, the book is basically divided into two parts.

Deloitte has released a slew of predictions for 2021, including in the enterprise tech, data and tech, media, telecom spaces. Deloitte picked resilience as the theme for its 12th annual tech trends report; a word that became a mantra in nearly every organization after their 2020 plans were upended by the coronavirus pandemic. In a webinar Monday, the firm identified nine trends separated into three groups that focus on how organizations can use technology to digitize, modernize, and enhance their businesses. Some have been spurred by COVID-19 and some by changes that have been ongoing for years, said Scott Buchholz, a managing director with Deloitte Consulting and emerging tech research director. The first group is dubbed "Strategy, engineered," and addresses the notion that the corporate and tech strategies "have really become intertwined as we move forward and increasingly become one and the same," Buchholz said.

At a time of constant innovation and evolving customer expectations, business agility has never been more important. The enterprises most adaptable to change stand the best chance of thriving. By contrast, those caged by complex and disjointed back office systems are running out of time. In particular, established companies that have been on the market for more than a decade face real challenges – from silos to legacy systems – that put the brakes on their ability to innovate and remain relevant to customers. A recent study by Oracle and The Confederation of British Industry highlights just how unrelenting undergoing this change can be, with half of the largest FTSE100 companies disappearing from the index since 2009.