Business use of big data analytics has flourished for years, but little has been known until recently about adoption of analytics by tax authorities around the world. A 2016 OECD report, “Advanced Analytics for Better Tax Administration”,1 changes that. Highlighting results of a survey among representatives of 16 OECD member countries, the report sheds new light on current tax authority use of analytics and how they may utilize it in the very near future.
Posted by Adrian Tay August 28, 2017
Advanced analytics gives CFOs a new language
In a recent quarterly survey of finance execs, 45 percent of surveyed CFOs say they have already made investments in finance and accounting analytics, and about 52 percent say they will invest more in the future. The financial services sector shows the highest levels of past investment among respondents, at 64 percent, with the health care sector highest for future investment at 71 percent.1
Does a process need to be improved before migrating it to a new technology platform or operating model (fix-shift)? Or should the process be moved to the future environment and then fixed (shift-fix)? That choice, long debated in the business process outsourcing (BPO), offshoring, and shared services worlds, is now confronting decision-makers as they deploy robotics and cognitive automation (R&CA).
Robotics and cognitive automation (R&CA)-driven technologies are already working alongside humans in many settings, replicating their actions and judgment to perform routine tasks at lower cost. I believe R&CA is going to become a dominant business driver in just three short years, so companies should be setting their R&CA strategies now.
Do the numbers add up when it comes to implementing robotics and cognitive automation (R&CA) – technologies that replicate human actions and judgment? They appear to, judging from the growing number of mail order houses, telecom providers, retail banks and others that already have software robots working alongside contact center agents. For those companies, bots are performing many routine tasks, such as validations and cross-referencing, that humans would have to do otherwise.
Smart Predictive Maintenance accelerates the maintenance journey and has potential to increase machine availability and visibility across an entire asset network.
In our first post on this topic, we addressed the question: Can robots replace HR? While the answer is “not entirely,” there is no doubt this technology represents both a significant disruptor and opportunity for HR. To back it up, our team has spent the last couple months working with early adopter clients and deploying internal Deloitte pilots to better understand the potential of robotics and cognitive solutions within the HR function. Our experience to date indicates there are three primary capabilities where digital options should be considered to supplement and augment the human talent in HR.
Posted by Rajeev Ronanki July 13, 2017
Artificial intelligence (AI) has long been the technology of the future – and the future is fast approaching. As AI matures to become an imminent force of change, in its shadows, machine intelligence (MI) is already enabling organizations to quickly reap the benefits of emulated human intelligence through targeted applications. MI and AI aren’t so different – where AI broadly tries to emulate general human reasoning, MI specializes in the applying human logic and reasoning to specific tasks and processes. Deloitte’s eighth Tech Trends report reveals that machine intelligence (MI) is a trend to watch in 2017. MI will likely become omnipresent as three primary forces converge – the same factors paving the way for ubiquitous AI:
We have grown comfortable with the automation of daily functions such as booking flights, online shopping, and moving funds between bank accounts. But the newest generation of technology offers much more. By enhancing human thoughts and actions, cutting-edge analytics capabilities are forward looking and prescriptive, enabling a technological revolution that impacts many areas of the health care industry.
Posted by Ashwin Patil on June 22, 2017
Things are just starting to pop in the world of manufacturing, aren’t they? Digitization and connectivity are forging the way ahead. Advanced manufacturing techniques combined with the Internet of Things are creating a digital manufacturing enterprise that communicates, analyzes and uses information to drive intelligent action back in the physical world. Supply chains are shifting from linear, sequential operations to an always-on, interconnected, open system of supply operations called a digital supply network (DSN), and traditional silos are breaking down. Continue reading “Effectively merging digital and physical worlds. It’s not a galaxy far, far away”