Welcome!

Agile Computing Authors: Yeshim Deniz, Elizabeth White, Zakia Bouachraoui, Liz McMillan, Pat Romanski

Related Topics: Agile Computing, Release Management

Agile Computing: Blog Feed Post

What Might Google 3.0 Look Like?

The Internet is exploding into a social medium

Google announced yesterday that they would be making some changes to their executive team and I covered one angle on that here. Even more interesting than the pace of change over the last 10 years is what Google 3.0 might look like. I wrote my MBA Strategy thesis on a future Google business model, but that was two years ago and it seems woefully out of date now. Looking back on it now, it was very focused on moving into new ways to collect information (mobile, social, etc.), enhancing the core advertising business.

If I look at where Google is now, and why they might have been considering some leadership changes, a few things jump out at me.

  1. Back in 2000, the way that Google changed search on the Internet was incredible. It was as if they opened a completely new (and large and fast) door to the world of information. But over time, we've become accustomed to that information always being available to us. Information is now expected. It's still a cash cow, but it's no longer a "wow" factor. [Bring Sexy Back]
  2. The Internet is exploding into a social medium. And while there are tons of engineers figuring out new algorithms for unlocking information from social interactions, "social" is an unpredictable area. Who knew that we'd love to send 140 characters, or tell the world that we're checking into the gas station, or buy virtual farmland. Predicting the social internet is like predicting the next fashion craze for 13-14yr old teenage girls. It doesn't always make sense, it's not predictable. And Google is all about data and things making sense. They believe they can predict your next search and potentially the future. There is a disconnect here. [OK Fine, You're a Valley Girl]
  3. After the Internet bubble burst, Google became the "Internet IPO market" for many start-ups. But other than YouTube and Android, they generally didn't treat those acquisition very well. So not only did they develop a reputation as a less desirable end-state for start-ups, but they increased the competitiveness of other funding sources (secondary markets, VC funding, etc..). [Another One Bites the Dust]
  4. As we've seen with examples like NetFlix's use of Amazon AWS, the cost to get large-scale new services out the door is significantly less than it was in the past. This means that start-ups don't necessarily need Google's scale to reach a mass audience, so they aren't as willing to sell out to the Googleplex. [Start Me Up]
So how might they address some of these issues and find new areas of business and revenues? Here's a few thoughts:

Read more »

Read the original blog entry...

More Stories By Brian Gracely

A 20 year technology veteran, Brian Gracely is VP of product management at Virtustream. He holds a CCIE #3077 and an MBA from Wake Forest University.

Throughout his career Brian has led Cisco, NetApp, EMC and Virtustream into emerging markets and through technology transitions. An active participant in the virtualization and cloud computing communities, his industry viewpoints and writing can also be found on Twitter @bgracely, on his blog Clouds of Change and his podcast The Cloudcast (.net). He is a VMware vExpert and was named a "Top 100" Cloud Computing blogger by Cloud Computing Journal.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...