A guest piece I wrote for TechCrunch on how predictive-first (like “mobile-first”) applications will change the software game:
Over the past several decades, enterprise technology has consistently followed a trail that’s been blazed by top consumer tech brands. This has certainly been true of delivery models – first there were software CDs, then the cloud, and now all kinds of mobile apps. In tandem with this shift, the way we build applications has changed and we’re increasingly learning the benefits of taking a mobile-first approach to software development.
Case in point: Facebook, which of course began as a desktop app, struggled to keep up with emerging mobile-first experiences like Instagram and WhatsApp, and ended up acquiring them for billions of dollars to play catch up.
The Predictive-First Revolution
Recent events like the acquisition of RelateIQ by Salesforce demonstrate that we’re at the beginning of another shift toward a new age of predictive-first applications. The value of data science and predictive analytics has been proven again and again in the consumer landscape by products like Siri, Waze and Pandora.
Big consumer brands are going even deeper, investing in artificial intelligence (AI) models such as “deep learning.” Earlier this year, Google spent $400 million to snap up AI company DeepMind, and just a few weeks ago, Twitter bought another sophisticated machine-learning startup called MadBits. Even Microsoft is jumping on the bandwagon, with claims that its “Project Adam” network is faster than the leading AI system, Google Brain, and that its Cortana virtual personal assistant is smarter than Apple’s Siri.
The battle for the best data science is clearly underway. Expect even more data-intelligent applications to emerge beyond the ones you use every day like Google web search. In fact, this shift is long overdue for enterprise software. (Read More)
A guest piece I wrote for The Next Web on 3 Gmail tricks I use that save me literally hours of my life a week:
It’s totally unbearable and massively inefficient to process countless emails every day. And yet, to have any chance of success in today’s information world, you must communicate via email.
As you succeed, you become more networked, and more dependent on others to achieve even bigger milestones. As a result, your email volume just increases, while higher expectations require even faster responses and decision making. It’s a seemingly impossible cycle.
This is especially true for C-level and executive leaders. I was chatting recently with Suresh Khanna, Chief Revenue Officer at AdRoll, and he said it best: “Management is about making decisions – not executing. You need to delegate execution efficiently. You need to listen and keep everyone aligned on the same page.
“So, when it comes to doing this over email, you mainly serve as an email routing and forwarding agent.” (Read More)
Filed under Google, Tutorial
A guest article I wrote for VentureBeat today:
Yesterday, Salesforce.com acquired RelateIQ for $390 million. With Dreamforce right around the corner, this was a significant — and smart — move on the part of Salesforce.com to show the industry that it is finally serious about data intelligence, which it completely lacked in its customer-relationship management (CRM) offerings to date … (read more)
A piece I wrote for The Next Web:
The first product manager (PM) is a crucial unicorn hire that no startup should compromise on. The reason is simple – your PM is responsible for managing your team’s most precious resource: time.
Unfortunately, nearly everyone seems to think they’d make a great PM (engineers, consultants, you name it), but the reality is that most folks just can’t hack it. I’ve worked with countless PMs at huge companies like Yahoo and Google, and over the past two months have interviewed over twenty PM candidates.
Out of all these folks, I’ve only encountered two PMs who actually do the job well … (read more).
Just posted a guest article on The Next Web on some of the key startup learnings my team and I have picked up while building up our company Infer. Although our company is emerging and in the enterprise space, I think you’ll find many of these insights to be broadly applicable.
Here’s the link to a a guest article I wrote for VentureBeat arguing the benefits of including VCs early on as well as how the VC “signaling effect” (negative or positive) is sometimes a good thing for entrepreneurs to experience.
Today, my co-founders and I are extremely excited to launch our company Infer. We’re applying consumers smarts (a la the science of Google) to business to specifically help companies win more customers. We’ve been able to deliver consistent lift across the board for our customers. Learn more about what all this means and how we do it here.