Trends Identified
Brands won’t be able to stay neutral.
Consumers and employees increasingly expect companies to take a position on the day’s issues and live their values, says Blackbird CEO Ross Martin. “You’re forced, as a company, as a leader, to stand for something, otherwise everyone will know you stand for nothing,” he warns. “You won’t be hated, you’ll become completely irrelevant, and the people who worked for you, won’t work for you anymore because you didn’t stand up when it mattered.” These expectations will only intensify in 2019, agrees Marianne Cooper, senior research scholar at Stanford and the lead researcher on Lean In. “To prepare, leaders need to get clear on their own and their company’s values, decide which issues make the most sense to weigh in on, and pre-plan how they will respond — or at least establish a process for dealing with situations that need a rapid response.”
2018
50 Big Ideas for 2019: What to watch in the year ahead
LinkedIn
Hotels will take away your alarm clock.
“It used to be a real treat to go to a hotel because they had things you didn’t have at home," says Marriott International’s global chief development officer, Anthony Capuano. "We have everything at home today!” And we expect those things to work at the hotel too, whether that’s connecting our own devices to the TV screen or continuing a Netflix show where we left it back home. Meanwhile, the technologies we no longer use that hotels have stubbornly held onto are finally disappearing. Bye bye alarm clocks and landline phones!
2018
50 Big Ideas for 2019: What to watch in the year ahead
LinkedIn
Employers will make room for neurodiversity.
Neurodiversity refers to the inclusion of people with all sorts of cognitive abilities and patterns, from ADHD and dyslexia to people on the autism spectrum. It is coming to workplaces as the chronological consequence of a cultural and scientific shift in the 1990s; conditions once seen as pathologies to be medicalized became differences society should embrace. “You have a whole generation of people who were much more rigorously diagnosed entering the workforce now,” says Ed Thompson, founder of Uptimize, an organization that helps employers attract, hire and retain neurodivergent talent. Add to that a “chronic war for talent,” he says, which is prompting recruiters to look beyond their usual demographics, and neurodiversity is “becoming a category of workplace [diversity and inclusion] that a lot of people are talking about in a way that wasn’t true even a year ago.”
2018
50 Big Ideas for 2019: What to watch in the year ahead
LinkedIn
Drugmakers will double down on China.
In 2018, that investment translated into pharmaceutical partnerships with leading Chinese companies like health insurer Ping An (Sanofi), e-commerce giant Alibaba (Merck Group) and tech conglomerate Tencent (Novartis). Not only is the country the second largest pharmaceuticals market for many companies now, China itself is rethinking its approach to medicines. It published its first list of rare diseases six months ago, and a new drug approval process may result in new therapies from Chinese drugmakers, too. “Our experiences there are going to drive how we reimagine health care,” predicts Novartis’ Vas Narasimhan, who took over as CEO in early 2018.
2018
50 Big Ideas for 2019: What to watch in the year ahead
LinkedIn
Your next vacation may be to space or undersea.
Ok, maybe not “next” vacation unless you’re a very occasional traveler. But in 2019, NASA will start building its Lunar Space Station and we’ll see continued investment in private spaceflight, predicts Glenn Fogel, CEO of Booking Holdings. His company compiled data-driven travel insights from its millions of reviews and bookings. Until space becomes an option, “travelers are seeking out uncharted territories in other forms, with 60% of travelers confirming they’d want to stay in an accommodation under the sea,” Fogel writes. Gen Z and Y travelers are also bringing their values with them and seeking environmentally-friendly and socially-conscious experiences, often opting for shorter, nearer trips. The hot new destinations? The Bahamas, Florence, Palm Springs and Cartagena.
2018
50 Big Ideas for 2019: What to watch in the year ahead
LinkedIn
We will stop living an Insta life.
The social media honeymoon is over. As people question their screen addiction, the impacts are felt in all walks of life, from dinners where guests demand the phones be put away to changing trends in the beauty industry. “In 2019, people are looking to scale back, simplify their routine and their look,” says Melissa Butler, founder and CEO of The Lip Bar, after years where trends were set by Instagram influencers and elaborate makeup tutorials on Youtube. “Social media has played such a big part in pressuring us to show up in a certain way. People are looking to reconnect with who they are, go back to the basics.”
2018
50 Big Ideas for 2019: What to watch in the year ahead
LinkedIn
Immersive Technologies – Enhancing the Digital Experience
Two distinct but merging technologies are behind immersive technologies: Virtual Reality (VR), computer- generated, digital environments that fully immerse users in a virtual world and Augmented Reality (AR), which overlays digital information on the physical world and augmented reality operating environments. Companies are already experimenting in pilot projects and the technology has the potential to become the next computing platform. Mobile devices are currently at the center of the implementation of AR/ VR and they could replace large parts of the PC landscape. We observe a co-evolution with digital twins and gaming. Hardware is important, but the user experience such as ease and comfort of use and real-time performance as well as a structured content are keys for success. High data quality including realtime analytics is also a prerequisite. Immersive Technologies are still in early development and are five to ten years from wide mainstream adoption. They currently show a slower adoption than smartphones but will probably experience a similar cost reduction and speed up significantly cost reduction and development speed. Hardware vendors are accelerating computing and speeding up application performance and vendors are already developing and offering enterprise-level collaboration tools and augmented reality operating environments. For now, the clumsiness of the current devices has reduced mobility and the cost for adopting content are slowing progress and cybersecurity and safety of usage remain issues. Immersive technologies promise unique user experiences including 3D interactions, new ways of data handling, and interaction with the physical world and has the potential to accelerate and simplify business practices or even invent new ones. Use cases are hands-free tasks like in field service and maintenance, digital twins for operations, architecture, real-estate etc., live media streams, and augmented information for any digital supported workplace.
2018
Trend Report 2018 - Emerging Technology Trends
SAP
Conversational Systems and User Interfaces –Talking to Machines
Machine Learning has reached a state in which conversational systems can have increasingly engaging and human like conversations. These chatbots or digital assistants use mainly natural language processing (NLP) to interact with humans but will use sight, sound, tactile, etc. in the near future as well. Conversational systems can be viewed as a step towards true personal virtual assistants and will replace most common interfaces, simplifying human-machine interactions and replacing less interactive interfaces. The technology will probably merge in part with Immersive technologies and will also leverage the digital network of sensors, appliances, and IoT systems to interact with humans. The chatbot ecosystem is already robust, with many different third-party chatbots, native bots, distribution channels, and enabling technology companies. Messaging platforms such as Facebook Messenger, WhatsApp, Tencent’s WeChat, Google Allo, Apple iMessage, Slack and Kik all use chatbots as well as voice-controlled consumer devices like Amazon’s Alexa, Apple’s Siri, Microsoft’s Cortana, Google Assistant and SAP Co-Pilot. While the focus is on consumer applications right now, especially based on mobile technologies, chatbots will go business very fast, allowing businesses to leverage the inexpensive and wide-reaching technology to engage with more consumers and to support, simplify and speed-up many business processes. Examples are commerce applications as taxi cab ordering (such as Uber), concierge facilities (such as Sephora), B2B contract workfl ows (such as Apttus), food ordering (such as Domino’s Pizza) and others. Use cases for chatbots are helping humans to use technology without the need to know technology like in navigating and exploring, automated customer services, and supporting functions for hand-busy tasks in fi eld service, logistics, maintenance, medicine and others.
2018
Trend Report 2018 - Emerging Technology Trends
SAP
Robotic Process Automation – Rule-Based Bots
Robotic Process Automation (RPA) refers to rule-based and easily programmed software, that promises to eliminate repetitive, easily automated tasks. RPAs are fully programmed, cannot learn and have to be updated when IT systems change. RPA is seen as a next step towards automation where machine learning is not needed. It can be tied together with machine learning to automate more complex tasks to create intelligent enterprises. Most RPA today uses text analytics, image processing, text search, or optical character recognition. Analytics will become critical as RPA will soon be developed towards more smarter versions. While we are heading towards an automated world, the process seems to take longer than anticipated and is more complex than anticipated, so RPAs could be a fast forward solution for those processes that yet do not need sophisticated algorithms. For now, a central control of bots is not fully established and changes of IT systems could lead to expensive updates. Besides that, RPA can boost productivity with minimal process change, it offers easy-to-calculate ROIs and it is an in-route to more complex automation with machine learning.
2018
Trend Report 2018 - Emerging Technology Trends
SAP
Machine Learning – The Algorithms to Make Everything More Intelligent
The success of Google AlphaGo in 2016 marks the rise of machine learning. It is based on the idea that machines can learn for themselves if they get access to large volumes of data and comprises deep learning, neural networks and natural-language processing algorithms. The technology has very strong connections to big data and real-time analytics but needs high quality data and a clear process to be trained. Machine learning and IT vendors will in build intelligent capabilities into business intelligence systems, analytics and into many devices, robots and machines. This is rising a number of ethical questions such as the future of our work, how machine learning will affect our behavior, how can we guard us against mistakes and unintended consequences, and how do we stay in control. Extracting the qualitative data needed for machine learning training is a challenge, as well as finding experts. Machine learning can be used to solve a tremendous variety of problems and automate tasks that had to be handled by humans before, such as translations, face, speech and pattern recognition, text analytics, analyzing large data sets and more. The technology promises to save costs and improve the quality of work by automating 80% of the roughly 50% work activities that are suitable for automation. Most of todays’ knowledge work contains the following activities: pattern recognition (99%), generating and understanding natural language (75%), optimizing and planning (30%). Furthermore, machine learning may generate faster insights and speed up decision making based on large data sets and accelerate innovation by faster prototyping. While machine learning will affect all industries, expectations are the highest for media, telecom, technology, consumer and fi nancial services. The fi rst wave of machine learning will focus on automating repetitive tasks and analyzing large data sets such as invoicing, text analysis, image recognition, and fraud detection but will be used for autonomous vehicles, virtual assistants, product intelligence and advanced robotics as well.
2018
Trend Report 2018 - Emerging Technology Trends
SAP