By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    analyst,women,looking,at,kpi,data,on,computer,screen
    What to Know Before Recruiting an Analyst to Handle Company Data
    6 Min Read
    AI analytics
    AI-Based Analytics Are Changing the Future of Credit Cards
    6 Min Read
    data overload showing data analytics
    How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?
    8 Min Read
    hire a marketing agency with a background in data analytics
    5 Reasons to Hire a Marketing Agency that Knows Data Analytics
    7 Min Read
    predictive analytics for amazon pricing
    Using Predictive Analytics to Get the Best Deals on Amazon
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: 3 Big Mobile Data Predictions For 2019 Worth Watching
Share
Notification Show More
Aa
SmartData CollectiveSmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Artificial Intelligence > 3 Big Mobile Data Predictions For 2019 Worth Watching
Artificial IntelligenceBig DataPredictive Analytics

3 Big Mobile Data Predictions For 2019 Worth Watching

Dan Matthews
Last updated: 2018/12/11 at 9:40 PM
Dan Matthews
6 Min Read
big mobile data predictions
Shutterstock Licensed Photo - By a-image
SHARE

In 2016, IT professionals and web developers alike were astounded at the growth of the mobile web. People were downloading mobile data at a year-over-year growth rate of 125 percent — accounting for a total of 10 billion gigabytes of downloads in a single year — which equaled out to an average of over 31 gigabytes per person in the US.

Contents
1. Corporate Security Risks Will Increase 2. Analytics Will Capture Tremendous Value 3. Google’s AI Will Help Small BusinessesFinal Thoughts

By 2020, Zenith forecasts that people will consume 28 percent of all media via mobile internet, and this could be an underestimate because of 5G. Qualcomm has a prototype 5G modem chip, and if any of the major players in the 5G race are able to get their networks up and running in 2019, as is predicted, phones with 5G Qualcomm chips will be able to receive data at speeds up to 1 gigabit per second.

There will be an unprecedented amount of data zipping to and from mobile phones in 2019. To stay on top of what this means for businesses and individuals, consider the following.

1. Corporate Security Risks Will Increase

For businesses, the mobile trend has been a mixed bag. On one hand, employees and executives can access company email accounts, exchange files on the cloud, and do video conferencing from anywhere service is available. On the other, this opens the door to corporate security challenges unique to mobile devices, including mobile malware attacks, which have been increasing at a rate of 75 percent year over year.

More Read

AI analytics

AI-Based Analytics Are Changing the Future of Credit Cards

AI In Marketing: Is It Worth the Hype?
What Is The Advantage Of Using SDK in AI Technology?
Vendor Security is Key to Preventing Future Data Breaches
Can AI Help Factories Lower Costs Enough To Survive The Coming Recession?

“We do see a general rise in mobile susceptibility driven by increases in mobile computing overall [and] the continued growth of BYOD work environments,” John “Lex” Robinson, information security and anti-phishing strategist at Phish Me, told CSO Online. Over the course of the next two years, companies have a 28 percent chance of experiencing data leakage due to mobile apps, employees who put corporate documents on the public cloud, and accidental disclosures via email and webforms.

Unsecured Wi-Fi networks and out-of-date devices will also be a challenge to corporate security, not to mention social engineering and compromised devices.

2. Analytics Will Capture Tremendous Value

People spend over 5 hours a day on their mobile devices, and apps account for 92 percent of that usage.

There are plenty of fantastic analytics tools to help capture big data revenue in 2019, but the chief issue for companies across many sectors comes down a lack of knowledge on how best to employ these tools. Because people are spending so much time on their mobile devices, by 2020 Zenith estimates the average person will be consuming an average of 492 minutes of media per day.

This generates an enormous amount of data —nearly 2.5 quintillion bytes a day — and companies can make the mistake of analyzing too much or too little. The manufacturing industry, for example, only captures 20-30 percent of big data value with predictive analytics, while retail only captures 30-40 percent. Still, if predictions pan out, big data and analytics revenues should hit $203 billion by 2020. That’s a combined annual growth rate of 11.7 percent since 2016.

3. Google’s AI Will Help Small Businesses

This one might come as a surprise, but small businesses with very little web presence will see a boost from Google in 2019. That’s because more and more people are using voice searches, to the extent that 50 percent of searches will be voice searches by 2020. When people do voice searches, they primarily do them on mobile devices, and there are plenty of times when they’re looking for products or services in their area.

Google is seeing this and is responding with Duplex. This is an AI feature for natural language conversation that will search data about businesses available on Google Maps. Instead of using data on the web, Duplex will crawl the Maps application for information. Then, the user will be able to make reservations at their favorite local restaurant, for example, and Google Assistant will be able to make the phone call for them and even talk to the person on the other end.

This will include a feature called “For You,” which can suggest local businesses that suit your preferences based on your Google search history. Now, Google will integrate your web data with the Maps app. For You employs a machine learning function called “Your Match,” which analyzes what businesses do and predicts the likelihood of whether a business can be of service to you.

Final Thoughts

While more and more people will consume content on the mobile web and use mobile apps in 2019, corporate cyber security will be especially busy dealing with threats from the proliferation of mobile devices. Ultimately, businesses that develop proprietary apps and put a premium on securing their employees’ mobile devices will come out ahead moving into 2020.

TAGGED: artificial intelligence, data security, google maps, mobile apps, predictive analytics
Dan Matthews December 12, 2018
Share This Article
Facebook Twitter Pinterest LinkedIn
Share
By Dan Matthews
Dan Matthews is a freelance writer who specializes in tech, business, and finance. You can find him on Twitter @danielmatthews0.

Follow us on Facebook

Latest News

data breaches
How Hospital Security Breaches Devastate Local Communities
Policy and Governance
analyst,women,looking,at,kpi,data,on,computer,screen
What to Know Before Recruiting an Analyst to Handle Company Data
Analytics
data perspective
Tackling Bias in AI Translation: A Data Perspective
Big Data
Data Ethics: Safeguarding Privacy and Ensuring Responsible Data Practices
Data Ethics: Safeguarding Privacy and Ensuring Responsible Data Practices
Best Practices Big Data Data Collection Data Management Privacy

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

AI analytics
AnalyticsArtificial IntelligenceExclusive

AI-Based Analytics Are Changing the Future of Credit Cards

6 Min Read
AI in marketing
Artificial Intelligence

AI In Marketing: Is It Worth the Hype?

8 Min Read
AI in SDK
Artificial Intelligence

What Is The Advantage Of Using SDK in AI Technology?

4 Min Read
vendor data security
Security

Vendor Security is Key to Preventing Future Data Breaches

8 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?