Much has already been said and written about the infiltration of robotic process automation (RPA) and intelligent automation (IA) technologies into the workforce. In truth, it’s taken the corporate world a while to test, trust and commit to automation at work.
To understand how far APAC/ANZ markets have advanced towards acting on these opportunities, the Shared Services and Outsourcing Network (SSON) surveyed the market and found that across the region corporations were forward thinking in building for scale, trusting technology and recognising the need to incorporate robotics into both IT infrastructure and enterprise strategy.
This report explains how enterprises across APAC/ANZ are staying ahead of the global wave of RPA, the most popular solutions they are choosing, who the preferred consultants or 'integrators' are, the challenges, and how the digital workforce is being integrated into the human one.
Global corporate enterprise AI practitioners are clearly still dealing with infrastructure issues related to talent and technology. End-to-end processes remain stubbornly carbon-based. Rule-based automation is truly not yet globally scaled across the majority of organizations.
Double the AI
And yet, the AI & Intelligent Automation Network members went from 21%, having deployed Intelligent Enterprise solutions to over 44% in just one year’s time.
Over 4/5 expect to deploy AI in under two years
The stated goal for deployment is just under 83% by the end of 2020. Considering the fact that they’ve essentially got two years, and those ranks have doubled in one year – doubling again in two years is achievable. Incidentally, that same number was only 67% a year ago.
50% expect to be established, globally scaling or refining AI in under two years
Global corporate enterprise is in fact slowly but surely transforming into the intelligent enterprise of tomorrow. Having said that, it will be
Robotic process automation (RPA) has emerged as a hugely popular business-IT priority – and with good reason. RPA platforms grow more and more sophisticated by the day, opening up fresh automation opportunities throughout the enterprise and business.
But RPA platforms generally aren’t a one-size-fits-all investment.
In this market guide, find out how the top RPA vendors stack up against one another on key investment criteria, including ideal use cases, unique RPA capabilities, and more.
How do you keep people safe in a ‘once in a 1,000 years’ weather event? Hurricane Harvey was a category four hurricane which struck the coast of Texas, eastern Texas and southwestern Louisiana in August 2017.
HERE was able to track the storm and accurately report more than 2,100 road closures and blockages in real-time helping people stay out of harm’s way.
HERE is the world’s leading provider of traffic incident information to the automotive industry. This eBook shows how HERE’s deploys its people and artificial intelligence to gather the data, check it for accuracy and produce insights which keeps drivers safe.
Real-time ERP systems are converting purchase order into jobs and schedules through the integration of standard ERPs with Machine Learning (ML) and Artificial Intelligence (AI). This powerful combination of touchless digitization engine, Robotic Process Automation (“software robots” that perform tasks automatically), and APIs in a nonintrusive manner to highly automate process is convincing Business Leaders, CIOs and IT managers that AI has moved past hype. Download full White Paper.
It’s time to move your supply chain into the realm of super-intelligent.
This special report is for anyone looking to enhance their supply chain operations by utilizing the latest in technological advances such as artificial intelligence (AI), machine learning and the Internet of Things (IoT). With smart use of these tools, businesses can anticipate problems and develop solutions before they occur.
Forward-thinking leaders are using this disruption to optimize their supply chains and push the quality of their findings to a whole new level.
In it, you’ll learn:
• The markers of a truly cognitive supply chain
• The crucial role of location intelligence in supply chain optimization
• The impact increased visibility has on every area of your supply chain, including asset, inventory, fleet and energy management
In this book, we are going to look at the key trends driving the modernization of data infrastructure. We’ll see how organizations are adapting and flourishing in a data-driven world. For some time, headlines have been around the internet of things (IoT),
big data and data analytics. While these developments are important, the reality is that you cannot take full advantage of them without modernization. We’re going to look at these trends and priorities in detail, then look at the three key drivers of modernization: governance, mobilization and analytics. We’ll also consider the technologies that make up modern data infrastructure including artificial intelligence (AI), flash storage, converged and hyperconverged platforms and software-defined infrastructures. By making sense of data, we make sense of the world. With more data than ever before, we have the tools to turn all that information into intelligent innovation and change the way the world works.
We staan aan de vooravond van een technologische revolutie waarbij innovaties zoals Artificial Intelligence en Virtual Reality de customer experience zullen hervormen. Merken raken beter ingespeeld op digitale klanten die steeds meer de voorkeur geven aan self-service boven menselijke interactie. Aan de andere kant blijkt ook dat vele merken nog steeds worstelen met een van de meest fundamentele basisvereisten digitale CX: een optimale data-strategie.
For hospitality leaders, anticipating consumer trends and seeking innovations that enhance guest experiences are vital exercises that need to be practiced diligently. Now, more than ever – with the coming wave of disruptive technologies – taking these steps helps ensure success tomorrow.
Published By: Workday
Published Date: Mar 02, 2018
Artificial intelligence (AI) and machine learning are redefining business analytics. But for
HR, use cases can be much more complex. Learn five key steps to build a strong foundation for
answering HCM questions today and position yourself to use AI in HR going forward.
Agile and innovative companies like Netflix, Instagram, Amazon, Airbnb, and Uber have used exponential technologies to completely disrupt their industries. But some of the largest industries in the world have fallen prey to these and other disruptive companies. And most of them didn’t even see it coming. The convergence of exponential technologies, along with bold thinking and the willingness to take risks, is completely altering the business landscape. And that landscape is changing at an accelerating pace.
Disruption is occurring far more quickly than ever before. On average, an S&P 500 company is being replaced every 2 weeks, and over 40% of today’s Fortune 500 companies on the S&P 500 will no longer exist within 10 years. The only options are to disrupt yourself or be disrupted by your competition. Which will you choose? If you choose the former, do you know how to proceed? This guide shares strategies you can employ today to start future-proofing your company.
Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively.
So how can financial institutions respond to this growing threat?
Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs.
Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.
For the past decade, financial institutions have created sophisticated digital platforms for consumers to access, save, share and interact with their financial accounts. As sophisticated as these digital platforms have become, cyber criminals continue to pose an ever-present risk for everyone – from individual consumers to large corporations
In his recent article, 2018 Outlook: Customer Experience and Security Strike a Balance, Andrew Davies, vice president of global market strategy for Fiserv’s Financial Crime Risk Management division, explains how and why security will become a key differentiator for financial institutions as they respond to a changing landscape, which includes:
•Global payment initiatives
•Open Banking standards
•Artificial intelligence and machine learning
•Consumer demand for real-time fraud prevention and detection
Published By: Infosys
Published Date: Dec 12, 2017
Few topics garner more headlines today than artificial intelligence, and for good reason. Despite the fact tech luminaries can’t seem to agree if it’s the world’s greatest existential threat or saviour, there is little debate about its ability to fundamentally transform everyday life and the business models that support it. As Dr. Anastassia Lauterbach, Board member of Dun & Bradstreet, recently put it, “The internet disrupted 20% of all business models. Artificial intelligence will disrupt the remaining 80%.”
Published By: Infosys
Published Date: Dec 12, 2017
Overcoming AI’s barriers are not easy, but it is certainly achievable. The starting point to a successful journey is identifying the correct problem to solve. Too often, firms do this by looking internally at their own operations.
Instead, companies should employ the powerful tenets of design thinking, which focus on customer empathy and outside-in thinking to iteratively test prototypes.
Artificial intelligence is no longer the stuff of science fiction. Led by advances being made in academia and Silicon Valley, computing power is growing at an unprecedented and accelerating rate. As AI becomes more prevalent in finance software, the question facing you, the finance leader, isn’t whether it will change your job, but how to prepare for its arrival.
This paper is a primer designed to help you develop an AI strategy for your finance team. You’ll understand key concepts about this revolutionary technology, including how it works, why finance specifically stands to benefit, and how to apply AI in a way that returns the most value to your team.
collectd is an open source daemon that collects system and application performance metrics. With this data, collectd then has the ability to work alongside other tools to help identify trends, issues and relationships not easily observable.
Read this e-book to get a deep dive into what collectd is and how you can begin incorporating it into your organization’s environment.
Predictive IT is a powerful new approach that uses machine learning and artificial intelligence (AI) to predict incidents before they impact customers and end users. By using AI and predictive analytics, IT organizations are able to deliver seamless customer experiences that meet changing customer behavior and business demands. Discover the critical steps required to build your IT strategy, and learn how to harness predictive analytics to reduce operational inefficiencies and improve digital experiences.
Download this executive brief from CIO to learn:
5 steps to an effective predictive IT strategy
Where AI can help, and where it can’t
How to drive revenue and exceptional customer experiences with predictive analytics
Published By: Spredfast
Published Date: Nov 15, 2018
How Top Brands Automate Social Service Practices
Today’s conversational commerce requires brands to provide immediate answers to their customers’ questions. Chatbots and artificial intelligence are fast becoming critical tools for customer service, bringing speed and scale that ensures a superior experience. But what are the best practices that marketers need to know to tackle the challenges of customer service automation?
?Learn from experts from General Motors, Booking.com and Spredfast about how to bring automation into your CX workflows and bolster your social service strategies. You’ll find out:
How to think about automation for your business?
How chatbots enhance your agent workflows??
??How Booking.com and GM are using AI to drive inspiration and customer? service efficiencies??
New Techniques That Will Drive Revenue in 2019
If you’re ready to move beyond simple calculations and realize the vast potential of data driven selling, you’re ready to explore the next generation of SPM platforms.
Download the report to learn how the modern technologies like Artificial Intelligence and Machine Learning, can give your sales reps a roadmap to better performance and give sales management insights that will enable them to achieve more profitable sales.
Published By: IBM APAC
Published Date: May 14, 2019
Clients can realize the full potential of artificial intelligence (AI) and analytics with IBM’s deep industry expertise, technology solutions and capabilities and start to infuse intelligence into virtually every business decision and process. IBM’s AI & Analytics Services organization is helping enterprises get their data ready for AI and ultimately achieve stronger data-driven decisions; access deeper insights to provide improved customer care; and develop trust and confidence with AI-powered technologies focused on security, risk and compliance.
Artificial intelligence (AI) is moving beyond the hype cycle, as more and more organizations seek to adopt AI-related technologies. These organizations are focusing on prioritizing functional areas and use cases, placing a stronger emphasis on topline growth, taking up a renewed interest in their data infrastructure and articulating greater unease about the skills of their knowledge workers. This report explores how they are approaching str
Massive amounts of data are being created driven by
billions of sensors all around us such as cameras, smart
phones, cars as well as the large amounts of data across
enterprises, education systems and organizations. In
the age of big data, artificial intelligence (AI), machine
learning and deep learning deliver unprecedented
insights in the massive amounts of data.
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
NICE, the leader in workforce management, introduces the most advanced forecasting
tools on the market with WFM 7.0. Building on its recognition as the industry standard,
NICE WFM 7.0 Forecasting with Artificial Intelligence chooses the optimal daily forecast
model to provide staffing levels and budgeting that are more accurate than those
delivered by any other WFM solution.