With massive amounts of computational power, machines can now effectively uncover underlying structure in data, as well as, recognize objects and translate speech in real-time. Deep learning, a new discipline in AI and machine learning, uses neural network models that automate the learning of data representations and features. It achieves things we never previously thought possible in areas such as conversational intelligence, natural language processing, computer vision and IoT.
We will see a big new wave of innovation around application of blockchain and peer-to-peer network computing using the bitcoin code base. The decentralized, peer-to-peer, ledger based blockchain platform makes transactions safe and reliable even when the parties doing them don't trust each other and has significant advantages when it comes to infrastructure expense and scalability. It can also provide a new economic incentivization schema enforced by network protocol. Combine it with artificial intelligence,it will pave the way for innovation applications in areas of financial services, smart contacts, security, IoT and more.
With massive amounts of computational power, machines can now effectively uncover underlying structure in data as well as recognize objects and translate speech in real time. Deep learning, a new discipline in AI and machine learning uses neural network models that automate the learning of data representations and features. It achieves things we never previously thought possible in areas such as conversational intelligence, natural language processing, computer vision and IoT.
Augmented reality merges the real and digital worlds by superimposing virtual information onto everyday objects in environmental real-time. AR technology aims to blur the line between virtual presence and real existence. It has potential applications in numerous areas, including medicine, navigation, gaming, entertainment, education and the military. Augmented reality is a new user experience that traverses space and time where the information about the surrounding real world of the user becomes interactive and digitally manipulable.
In the next step in the evolution of computing, we will see the redistribution of processing beyond the cloud to include clients as well. The need for real-time actions combined with the dramatic increase in the number of devices and their growing computational power, is driving applications and intelligence to be embedded in many different devices such as phones, gateways, industrial machine controllers, sensors and wearables. This is also known as Fog Computing or Cloud-Client Computing.
Context computing anticipates user needs by leveraging real-time data streams on people, places and things with the corpus of historical data to proactively offer better customer experiences. Context computing uses "in the moment" data corresponding to the current user situation such as actions, behavior, emotion, location, etc. as well as user intent to make better predictions. Context aware computing is receiving increased attention in social media and advertising, mobile and wearable devices, and also the enterprise.
The Internet of Things (IoT) is deeply fusing IT in industrial design, supply-chain, manufacturing and logistics operations. This is creating new paths of information flow for transformed digital enterprises. The industrial IoT digital revolution is bringing data-driven disruption that adds efficiency for business models (like machine-as-a-service), predictability in operations and enhancement to asset performance.
Digital marketplaces are replacing traditional intermediaries in efficiently matching supply and demand for a variety of business services.This approach promises benefits like dynamic fair pricing, lower barriers to entry for service providers and transparent assessment of customer experience. While digital marketplaces are widely adopted in consumer services (like ground transportation), business services for finance, supply-chain and logistics will also benefit.
Despite the fast growth of e-commerce, physical retail is expected to retain over 90% of the total market for most of this decade. However, the future of shopping is ripe for disruptions with payments, sharing economy and mobile-first customer engagement. These have deep impact on the retailers’ core operations like supply-chain management, merchandising and cataloguing.
Financial services are beginning to reap the scale benefits of decentralizing transaction processing and trust re-defined for the Internet era through the application to technology platforms like blockchain and mobile. These trends are creating efficient financial marketplaces and new products to serve under-blanked consumer segments. Maturity in data analytics and machine learning is ripe for bringing new efficiencies through high levels of automation, enhanced abilities to assess individual risk, and detecting fraud by ever growing adversaries.
Security has been redefined by today's disrupted digital enterprise. The massive surge in connected sensors has created a new landscape for endpoint security with very different vulnerability curvatures. SaaS and micro-services are replacing human users as the primary consumers of enterprise resources, and have disrupted enterprise requirements for identity, authentication and authorization services. Maturity in consumer privacy regulations has made data-privacy a new cornerstone of enterprise IT security.
Age-old workflow process based enterprise applications like human resource, finance, procurement, supply chain et al., are ripe for disruption from connected events, data and analytics based approaches. New generations of enterprise applications are using context and data-driven decisions making to automate business process functions and drive real-time actions and increased efficiency.Changing consumer behavior is also having ripple effect on the design of CRM and marketing systems.
ADVISORS & INVESTORS
WHAT OTHERS ARE SAYING
“Augmented Pixels, a startup featured in The Pitch last fall, has raised $1 million in seed funding and moved into The Hive enterprise accelerator.”
“On the surface, The Hive looks like a conventional Silicon Valley incubator. It provides funding, networking, and advice to early stage startups.”