Deep Learning is a rapidly growing area of machine learning. The idea that every component, every stage in a learning machine can be trained makes the machines learn to represent the world. Unsupervised learning is a very tough problem to solve and Deep Learning excels at that. Currently the deep learning platforms are being using GPU hardware to scale better, but soon they will be able run on commodity hardware paving way to develop applications beyond speech recognition, natural language processing and robotics. We'll be seeing Deep Learning being applied in areas of algorithmic trading etc.
The next wave of market development will be around innovative applications of blockchain and peer-to-peer network computing using the bitcoin code base. The decentralized peer-to-peer platform will have huge impact on infrastructure especially driving down the expenses and address the scalability challenges. It can also provide a new economic incentivization schema enforced by network protocol. Combining artificial intelligence with blockchain technology will pave way for innovative applications in the areas of security, retail etc.,
Sophisticated Computational models play an instrumental role in the design and operation of numerous image and video processing algorithms. Complex visual scene analysis will allow computers to automate the task of tagging and classifying images and videos into useful categories. The processed image/video can be used on a variety of industries – ranging from publishing to advertising, from eCommerce to enterprise search.
Augmented reality merges the real and digital worlds by superimposing virtual information onto everyday objects. AR technology aims to blur the line between virtual presence and real existence. It has potential applications in numerous areas, including medicine, education and the military. Augmented reality has not only arrived, but is here to stay. By crossing verticals and providing new opportunities that have not existed before, the technology will soon hold a significant place in our daily lives.
The Internet of Things is disrupting traditional paths of information flow in consumer, commercial and industrial business scenarios. With 50bn devices expected to get connected to the Internet by 2020, there are big opportunities for new disruptive business models and technologies in applications, application development and security. These new companies will drive the third digital revolution after the Web and Mobile.
Consumer behavior has been significantly disrupted by the millennial generation leading changes in AdTech. Adoption of wearables and mobile has created large markets for omni-channel marketing specially hinging on a combination social, image and video pathways to consumer. These new companies will shape digital marketing and consumer engagement of the future.
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 benefits of digital finance marketplaces for serving the under-banked segments. Maturity in data analytics and machine learning is ripe for bringing new efficiencies through automated investing and customized insurance, apart from enhancing abilities of detecting frauds by ever growing adversaries.
Age-old workflow process based enterprise applications like human resource, finance, procurement et al are ready for disruptions from connected events, data and analytics based approaches. Changing consumer behavior is having ripple effects into designs of CRM and marketing systems. Shifting business models in IT are having profound impact on data-center management and security.
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.”