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State of the Cloud 2019: Europa Edition with Alex Ferrara, Bessemer Venture Partners (Video + Transcript)

SaaStr

It was around that time about 12 years ago that Jeff Bezos launched AWS, and some of you may remember that, when he did this, Wall Street analysts were looking at him and saying, “Why would you take what’s already a very unprofitable business and drive it further into the red by investing in this AWS initiative?”

Cloud 101
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Keeping data secure in Fintech

Panintelligence

She points out the need for non-stop investment in cybersecurity: A lot of money goes into banks in protecting the customers, but fraudsters are also investing heavily in cybercrime. You must constantly be innovating, and companies will be spending more and more on this for an awful long time."

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The decade software ate the world

Intercom, Inc.

The wave of SaaS companies that built themselves on the likes of AWS and Azure have reinforced the pre-eminence of cloud computing. It has been an eventful, often fraught decade in tech, then, and that’s not even to mention artificial intelligence or machine learning, Alexa or Siri, Bitcoin or WeWork, Edward Snowden or GDPR.

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SaaS Growth: Top Strategies and Trends for SaaS Growth

ProfitWell

Running your own server to handle your customer's valuable data requires a huge investment to match the same level of security and reliability that comes baked into services like Amazon AWS and Microsoft Azure cloud. This has always been a bad idea, but in the days of machine learning and massive data, it can kill a business.

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11 Data-Driven Sales Enablement Tips from Brand Leaders at Dreamforce 2019

Sales Hacker

Machine learning is only as keen as the data set it analyzes. The content that resonates best with buyers discusses issues and tells great stories, says Cameron Tanner at AWS. But investing time in building that expertise can slow reps down. Until that data set becomes a broader corpus, AI is still just hype.

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24 Predictions for SaaS in 2024

Chart Mogul

Just like machine learning before it disappeared in the background, AI will soon be so ubiquitous that it’s no longer a differentiator. Chatbots and virtual assistants using natural language processing and machine learning will become the norm for things like customer support. In a better way too.”

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Salesforce’s Mike Kreaden on how to build a platform to drive growth

Intercom, Inc.

Machine learning can get the right message or recommendation out in a responsive way – not just from the customer’s next best action, but from the sales perspective, too. John: You guys have made a lot of investments or bets on early stage companies. Customer nurturing now starts from the first touch, and AI can help with that.

Scale 151