Industry executives and experts share their predictions for 2018. Read them in this 10th annual VMblog.com series exclusive.
Contributed by Ashley Stirrup, Chief Marketing Officer, Talend
Big Data Fuels the Future
In
2017, data became the new oil, and in 2018 that statement couldn't ring more
true. Data is the underlying foundation for the future of machine learning,
social media regulations, and government ordinances. In 2018, companies' and
governments' ability to collect, transform, and manage data will be the
differentiator between technological success and failure, legality and
criminality, and virtue and immorality.
Here's
what's ahead for big data, machine learning GDPR and more:
GDPR Will Face Company Backlash:
In today's global, digital economy, companies are collecting more data than
ever on their customers, and that data is becoming more diverse and complex,
from different sources and in different formats. The creation and exchange of
data has also increased significantly as Bring-your-own-data (the new BYOD) and
enterprise collaboration software have grown to become a mainstay in the modern
workplace.
GDPR shows once again how out-of-touch the government is from the tech world,
only this time instead of being behind, it's outfront. The GDPR regulations are
so far ahead of organization's ability to manage data that most are not ready
for it. This inability for organizations to comply with these regulations will
force a negotiation.
Ethical Lines Will be Drawn Detailing
Data Morality (a.k.a. data virtue):
Consumers are giving companies more information than they're even aware of with
every purchase and search. In 2018, data and the ‘morality/virtue' of using
that data will come to a crossroads. Organizations collect mass amounts of
information on their customers, and while the EU is aggressively moving forward
with privacy regulations like GDPR, there is still a lot of grey area when it
comes to the ethical implications of third parties gaining this amount of
information on its clients.
In 2018, Machine Learning Will be the
Ultimate Weapon in the Cloud Wars:
We are one major announcement away from the technology industry being pushed
into a machine learning renaissance. 2018 will be a year of search and exploration
of machine learning to determine how best to use it, and what things can be
automated that you never thought possible before. Cloud will make machine
learning pervasive and soon enough, it will be built into every application -
used by everyone either directly or indirectly.
Pervasiveness of Flawed Data Will Lead
to Machine Learning Instability:
2018 will usher in organizations refining their AI, machine learning and deep
learning algorithms to leverage company and third-party data for the improvement
of the broader customer experience. However, only 3% of companies are working
with acceptably accurate data. Unless companies get a handle on their data and
ensuring 100% accuracy, machine learning could be learning from flawed data,
resulting in inaccurate analytics and predicted outcomes, leading to poor
business decisions.
In 2018, The Transparency of Machine
Learning Will Prove Critical:
We need to make the data and machine learning's "thinking" transparent.
Companies will emerge that are dedicated to the monitoring of machine learning
processes. In the future, machine learning will be used to make decisions
directly affecting consumers and it will be imperative that the decision-making
process is highly predictive and reviewable.
Social Media Platforms Will Become
Regulated by 2020:
Tech companies will undergo serious financial penalties for not removing fake
news or banned content. The more data these platforms have, the harder it is
for them to discern what's real and what's fake. These social platforms are now
viewed as the "new media" and therefore they have a social responsibility to
manage their public output. It will be imperative for social media companies to
implement a data strategy to maintain credibility among the public and the companies
leveraging their sites.
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About the Author
Ashley
Stirrup joined Talend in 2014 as Chief Marketing Officer. In this role, Ashley
is responsible for driving market leadership, global awareness, product
management and demand generation. Prior to Talend, Ashley held a number of
senior leadership positions in marketing and products at leading cloud and
software companies, including ServiceSource, Taleo, Citrix and Siebel Systems.