Marketing in 2020 is going to be challenging and exciting. Tomorrow's marketing trends will be shaped by the millennial market and huge leaps in technology. Businesses need to keep their ear to the ground for the latest trends and leverage them quickly. By staying on top of the major developments that impact marketing, you can drive business growth. Let's explore three of the key trends that could arise in 2020 and guide your marketing strategies.
Researchers at the Yonsei University of Seoul have developed a new type of robotic contact lens that can be recharged wirelessly and which could bring a wide variety of futuristic uses for contact lenses one step closer to reality. The new devices are built around a circular translucent antenna and super capacitor system that can receive continual power without needing to be plugged in to an external power source. These experimental new contact lenses will also be able to draw electricity without raising the temperature of the lens, eliminating a potential long-term cause of harm to wearers and the device itself. According to a report from Yonhap News Agency, because the lenses are completely self-enclosed they can be maintained with standard contact solutions without any risk of degradation. The team used soft contact lens material instead of rigid material to ensure the tools could be used in as wide a variety of circumstances as possible.
Over the past decade, the term "disrupt" became synonymous with innovation and success. A Google Trends search reveals a steady climb of the term's use throughout the 2010s to a peak in July 2019. As the 2010s come to a close, the big question for enterprises is how to start leveraging all of this disruptive technology to create true transformation. Here are five areas of disruption that hold significant promise to move from hype to driving true value for businesses and consumers over the next decade. Earlier this year, IBM (via Nanalyze) spoke with 30 of AI's most influential researchers and thought leaders to ascertain their predictions on the future of conversational AI.
Brain-computer interfaces (BCIs), as any other interaction modality based on physiological signals and body channels (e.g., muscular activity, speech and gestures), are prone to errors in the recognition of subject's intent. An elegant approach to improve the accuracy of BCIs consists in a verification procedure directly based on the presence of error-related potentials (ErrP) in the EEG recorded right after the occurrence of an error. Six healthy volunteer subjects with no prior BCI experience participated in a new human-robot interaction experiment where they were asked to mentally move a cursor towards a target that can be reached within a few steps using motor imagination. This experiment confirms the previously reported presence of a new kind of ErrP. These Interaction ErrP" exhibit a first sharp negative peak followed by a positive peak and a second broader negative peak ( 290, 350 and 470 ms after the feedback, respectively). But in order to exploit these ErrP we need to detect them in each single trial using a short window following the feedback associated to the response of the classifier embedded in the BCI. We have achieved an average recognition rate of correct and erroneous single trials of 81.8% and 76.2%, respectively. Furthermore, we have achieved an average recognition rate of the subject's intent while trying to mentally drive the cursor of 73.1%. These results show that it's possible to simultaneously extract useful information for mental control to operate a brain-actuated device as well as cognitive states such as error potentials to improve the quality of the brain-computer interaction. Finally, using a well-known inverse model (sLORETA), we show that the main focus of activity at the occurrence of the ErrP are, as expected, in the pre-supplementary motor area and in the anterior cingulate cortex."
These days, in any discussion about enterprise computing, the action is at the front end -- delivering superior user or customer experiences and user interfaces. Artificial intelligence-based technologies are providing developers and IT teams the power they need to deliver, while reducing the repetitive, manual tasks that have characterized UX, CX and UI. Not only does enhanced automaton help deliver the right information on demand, but also incorporates natural language processing to get smarter about questions being asked, relates Chris McNabb, CEO of Dell Boomi. I recently had the opportunity to chat with McNabb, who talked about the urgency of focusing on UX as a key part of enterprise computing initiatives. "You can't increase productivity without ease of use, without being smarter, and getting pervasive intelligence into your user experience," he says.
Technology is changing faster than marketers can keep up, offering up an eternal land of promises. Increasingly, hard decisions need to be made regarding which technology to implement and whether it can be tied back to measurable marketing objectives and improvements. Technology for technology's sake can wind up being a costly exercise with no discernible point. CMO spoke to the experts about which marketing technology will make the difference in 2020. Leading the list, of course, is artificial intelligence (AI).
We're living in a time of wonders, so it's easy to miss some. Every day, tech publications announce fresh hyped up initialisms. Some people who understand them, and some who just obsess about anything new. An idea arrives, gets a lot of buzz, then seems to vanish while people work on the practical applications. If it seems truly viable, it becomes a big industry term seemingly overnight.
Dakuo Wang is a Research Scientist at IBM Research AI, Cambridge, Massachusetts. His research lies in the intersection between human-computer interaction (HCI) and artificial intelligence (AI). He is now leading a team of researchers, engineers, and designers to conduct research and design user experience for IBM AutoAI, a solution to automate the end-to-end machine learning pipeline. From studying how users work with various AI systems such as automated machine learning (AutoML/AutoAI), chatbots, and clinical decision support systems (CDSS), he proposes "Human-AI Collaboration" as a new framework to examine and design AI systems to work together with humans. Before joining IBM Research, Dakuo Wang got his Ph.D. and M.S. in Information and Computer Science from the University of California Irvine, a Diplôme d'Ingénieur (M.S.) in Information System from École Centrale d'Électronique Paris, and a B.S. in Computer Science from Beijing University of Technology.
Katja Bühler is an Area Coordinator for Complex Systems and Head of the Biomedical Image Informatics Group at the Vienna based Virtual Reality and Visualisation Research Centre VRVis. Before joining VRVis in 2002, she worked as assistant professor at the Institute for Computer Graphics and Algorithms at Vienna University of Technology, where she still acts as external lecturer. She holds a degree in Mathematics from the University of Karlsruhe and a PhD in Technical Sciences (Computer Science) from Vienna University of Technology. Katja Bühler has many years of experience in leading international applied research projects in close cooperation with industry and academia and deepened her knowledge in Strategic R&D Management at INSEAD. In 2012 Katja Bühler and Rainer Wegenkittl received the Austrian science2business award for the management of a successful long term research project with AGFA Healthcare.
What are the foundational technologies today on which we are building tomorrow? That was the question Michael Hainsworth, executive producer of Futurithmic, co-host of the Geeks & Beats podcast and former BNN senior anchor and CTV news reporter, asked the audience at a talk billed Future Forward: Three Technologies That Will Change Our World Forever. The presentation was part of the CanaData construction forecasts conference held recently in Toronto. "You look at 5G wireless, artificial intelligence (AI), augmented reality (AR), these are going to be three key technologies for your industry not for the next 10 years, not for the next 20 years, this is the future forever," explained Hainsworth. "These fundamental technologies are going to give us things that today we can't even predict."