Cloud computing is growing at a rapid pace, which means the industry is a little different each day, with lots of new trends emerging every year. We just took a look back at the trends that emerged in cloud computing in the last decade; now let’s take a look at the trends to come.

Here are the top cloud computing trends to watch out for in 2020.

Trend #1: Serverless Computing


The end of 2019 marks the end of one of the most influential decades for cloud computing. In previous sections of our 3-part series on modern cloud computing trends, we took a look at the biggest technologies that emerged this decade as well as the most trending cloud applications that evolved during this period. In this final edition, let’s peek at some of the smaller trends that may have gone under the radar but may very well end up shaping the industry this decade.

Trend #1: Hybrid Cloud


Almost every corporate change is made on the basis of whether it will make the company more revenue or not. Two decades ago, most experts either did not think enterprises were going to generate any revenue from cloud computing or underestimated how much. While most enterprises didn’t know what cloud services could be used for at the time, that sentiment has indubitably changed quickly over the past decade.

Click here to read the first part of this series on cloud computing trends, where we explored how the sector got its roots and quickly went on to become a cross-industry standard.


“Cloud computing technologies let us store, access and share all kinds of information over the Internet from anywhere, at any time.”

- Forbes Special Report on Cloud Computing from 2010

To say that we’ve made progress in cloud computing technology or that cloud computing is quite popular would be an understatement. While both of those statements were true back in 2010, in 2020, cloud computing hasn’t just evolved and become more popular, it has become a necessity for every enterprise that doesn’t want to be limited by borders.

Of course, it wasn’t always that way. On the way here, companies…


In a 2018 survey conducted by Deloitte, 77% of executive respondents rated “Citizenship and social impact” as being critical or important priorities for their respective organisations. This is one of the many statistics that highlight the global entrepreneurial shift towards social enterprises.

In the previous edition of Oddup’s two-part series on social entrepreneurship, we took a closer look at the recent uptick in ‘social good’ startups around the world. In this second and final part, we explore the social entrepreneurship business model in greater depth and highlight a few highly successful ventures in the domain.

The Business Model of a Social Enterprise

Thanks to a growing sense…


In this first edition of Oddup’s two-part series on social entrepreneurship, we focus on the recent uptick of ‘social good’ startups, some examples of successful business models, and the growing interest of venture capital investors in these ventures.

While an overwhelming majority of companies have historically favoured financial growth over other metrics to measure success, recent trends suggest that organisations will have to rethink that strategy sooner rather than later. According to Deloitte’s Human Capital Trends survey, a staggering 86% of millennials believe that business success should be measured in terms of more than just financial performance or how much…


In a previous article, we covered AI’s massive potential in the business and enterprise landscape. In 2019, artificial intelligence is being used in nearly every industry out there — retail, food, finance, space, video games, and even creative fields like music. So it’s not a surprise that artificial intelligence and machine learning (a part of artificial learning) have found applications in the scientific community focused on fighting climate change.

In this article, we’ll go over some of the ways in which artificial intelligence is already aiding the fight against climate change around the world.

The Choice of Weapon: Code

A recent paper in the MIT…


Data collected by companies is at an all-time high, thanks to analytics tools incorporated in most consumer-facing services and products these days. Experts estimate that by 2020, each person will generate 1.7 megabytes of data, or 146 gigabytes of data every day. However, data collection is only half the story for most companies since it’s nearly impossible to process all of it and extract meaningful intelligence quickly enough. Developments in the field of Artificial Intelligence, however, is starting to change that.

The AI industry has lured potential investors and customers for more than a decade now. In 2019 though, it’s…


In 2019, AI is no longer just a buzzword. To many companies, AI is a massive opportunity. Most individuals and enterprises are preparing to capitalise on this technological shift by incorporating some form of automation into their business, starting with more routine tasks. The same, however, cannot be said for the public sector given that most governments are still far behind on adoption of new technologies and are missing out on critical opportunities.

Having said that, there is still time for governments to understand what aspects of their city can be improved with AI. By 2021, we’ll also have a…


In the first part of this series, we discussed the nature and benefits of mergers and acquisitions, some of the top trends for 2019, and the risk factors involved in every merger and acquisition. In this second and final article, we explore the real-world consequences of these risk factors and how they can be mitigated to pave way for a successful M&A at most companies.

Risk Factors in Action: Examples of Failed Transactions

Cultural Differences — AOL/Time Warner

Oddup

Oddup is the global leader in startup, investment, ecosystem, sector, and ICO insights and analysis.

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