2015 Technology Prediction COLLECTIVE

2015 Technology Prediction Collective

 

Sierra Ventures partners with companies whose disruptive idea positively impacts a market; and the market embraces the new model, as the technology becomes their market advantage. To glean market insight on adoption & disruption, we collected the predictions of Sierra Venture’s portfolio companies, and their responses are very eye opening.

2015 offers great promises as the mainstream adopts and adapts to new technology and innovations. All predictions have a commonality honing upon new areas of efficiencies and accuracy, due to hardware and software advancements. Share your feedback and your predictions as well by posting comments below.


PREDICTION FOR Advanced Analytics for Big Data:
Advanced analytics and machine becoming available to all employees, improving productivity

Bruno Aziza“In 2014, we saw a shift in the way enterprises leverage Advanced Analytics on Big Data.  Up until now, most organizations had been using business intelligence tools to explore data, but in 2014, this changed.  We saw an acceleration in the number of companies able to drive competitive advantage and business value using Advanced Analytics at scale. In 2015, more enterprises will find that there is more than just exploring Big Data. Using new solutions, they will develop business models and applications that leverage machine learning at scale and make advanced analytics consumable by all employees.”

– Bruno Aziza, CMO Alpine Data Labs


Prediction for Demand Generation Automation:
Combining human and machine intelligence will expedite lead cycles

Vince Broady“2015 will be the year of made-to-order business automation. Companies will integrate customized, big-data driven methods like LeadGenius to boost the efficiency of out-of-the-box sales & marketing automation tools they’re already using such as Salesforce, HubSpot and Marketo. The ability to reliably and affordably scale previously labor-intensive business operations frees up enterprise marketers and sales teams to focus on higher-value tasks, especially at the top of the funnel. Complex tasks like lead research, enriching CRM data, and first-touch email prospecting can be automated like never before through new combinations of human and machine intelligence.”

– Anand Kulkarni, President & Chief Scientist, LeadGenius


Prediction for Cloud, Big Data and Internet of Things:
IOT becomes a reality, DUE to NEW technologies, USAGE AND USERS

Vince Broady“In 2014, we saw increasing adoption of big data and cloud tools to collect and analyze data originating from connected devices in the Internet of Things. This is because big data technologies are finally cost-effective, thanks to new innovation, open source and commoditization of software and hardware. It’s now possible to process the massive-scale data generated by IoT. In addition to wearables and other futuristic data sources, huge volumes of data generated by embedded computing have existed for years, locked in machines, vehicles, medical devices and other sources. Now, the technology has finally advanced to access these valuable data sources, and we’ll see them used to enhance products and create new business lines.”

– Hiro Yoshikawa, CEO, Treasure Data


PREDICTION FOR IT OPERATIONAL ANALYSIS:
TURN TO MACHINE LEARNING-BASED ANALYTICS

Vince Broady“In 2014 we saw greater understanding and acceptance among companies of IT Operational Analytics (ITOA) as an important tool that could have a significant positive impact on business. We expect that in 2015 ITOA leading edge enterprises will increasingly turn to machine learning based analytics as a more dependable and less error prone means of problem identification and resolution than current approaches based on human-defined rules, relationships and thresholds. High profile case studies will emerge in which enterprises provide higher quality services at lower costs while freeing human expertise from the drudgery of coaxing information from their management tools to undertake more creative endeavors.”

– Kevin Conklin, VP Marketing, Prelert


Prediction for Mobile Development:
Mobile’s contextual experience will anticipate user needs

Vince Broady“For the last several years, we’ve been drifting between two worlds. 2015 will see legacy web tech finally cede control to purpose-built mobile experiences. We expect the gulf between the web’s dumb-terminal fetch and display paradigm and mobile’s inherently personal, always-with-us experience to widen to a tipping point. Driving this will be a new emphasis on creating contextual experiences – mobile’s unique ability to combine context (e.g. location, calendar, past actions, new IoT data) to anticipate user needs and provide seamless, personalized interactions. Fuel to the fire will be momentum behind new technologies like beacons and the Apple Watch to permanently shift the way people buy, share, search, learn and collaborate.”

– Jeff Haynie, CEO and co-founder, Appcelerator


Prediction for Product Lifecycle Intelligence:
Product management will benefit from software platforms designed for operational intelligence

Vince Broady“In 2015, we expect to see focused, function-specific software platforms continue to thrive. Enterprises have come to trust platforms for sales, marketing, and other areas. Today’s market leaders will solidify their positions with more rich, focused offerings. Functions like product management will get attention and start to realize the benefits of a software platform to drive operational excellence, identify new opportunities for growth and innovation, and replace decades-old technologies. Both software and intelligent hardware product organizations will seek out their own platform that supports modern development methodologies, is user-friendly, and interfaces with the platforms already in use with their counterparts in other functions.”

– Bismarck Lepe, CEO & Founder, Wizeline


Prediction for Mobile Interfaces:
Common interaction language and interface designs will converge for wearables

Vince Broady“In the 1990s, we saw PC interfaces largely standardize around the “desktop metaphor”, with windows, icons, menus, mouse cursors, and so on. Mac, Windows and Linux looked different, yet relied on a similar set of interaction conventions. We’re seeing the same thing happen today with smartphones: iOS, Android, and Windows Phone look different, yet have largely converged on shared scheme of swipe-able grids of apps, lack of a true file system, integrated voice assistants, notification centers, etc. However, smartwatches are still nascent, and have yet to standardize on a common interaction language. Even the hardware design is diverse: buttons vs. touch-only, round vs. rectangular screens, and a variety of accessory controls like Apple’s “digital crown”. I believe these interface designs will start to converge and cement in 2015.”

– Chris Harrison, CTO, Qeexo