The Biggest Challenges for Big Data Analytics in the Age of Artificial Intelligence

The Biggest Challenges for Big Data Analytics in the Age of Artificial Intelligence

It’s been a huge decade for big data and artificial intelligence (AI), two of the biggest tech trends we’ve seen this century. From data-driven manufacturing to self-driving cars, we’ve witnessed dozens of jaw-dropping, previously unimaginable feats, all thanks to advances in big data analytics and AI.  

Not so long ago, businesses across industries often sat on tons of useful, game-changing data, unsure about the many ways they could put it to use to gain competitive advantage. But as methods in machine learning, deep learning, and natural language processing became more advanced while computing power went up, seemingly useless data suddenly began to make sense.

For instance, businesses could use customer data to analyze demographic profiles, shopping habits, and other behaviors, which helped improve marketing campaigns and overall customer experience.

Still, despite all the good that comes with AI, its growth presents a myriad of challenges for big data, especially when you consider how data-hungry AI systems can be.

These challenges represent the biggest roadblock that must be addressed before we can fully realize the potential of AI and big data.

1. Data Privacy and Security

AI systems, even the most basic forms, are usually very complex, with tons of algorithms obscuring what the system is ...

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3 Big Data Privacy Risks and What They Mean to Everyday Users

3 Big Data Privacy Risks and What They Mean to Everyday Users

When the internet was conceived, many people believed it was the pinnacle of digital communications. It enabled users to share information despite being continents away seamlessly. And as the online repository of unstructured data grew to a massive scale, technology pioneers began connecting the dots and took digital information-sharing to a whole new level.

Today, big data has become one of the most promising concepts in the tech space. You can find it everywhere — from music streaming services to hospitals that store medical records digitally. Big data analytics also enable businesses to refine their lead and customer engagement strategies as well as execute data-driven marketing campaigns.

But what if you’re an everyday user who’s never even heard of big data before? What if you’re simply an employee who’s in no position to worry about big data analytics?

Chances are, you might consider giving up some of your information to certain brands in exchange for personalized services and experiences. This, however, could open up gaping holes in your online security and privacy. After all, the World Wide Web is no stranger to embarrassing data breaches that endanger the information of users such as yourself.

Without further ado, here is a closer look at three ...

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Ways Hackers Steal Your Data (And How to Defend Yourself)

Ways Hackers Steal Your Data (And How to Defend Yourself)

For non-technophiles, online communication is as simple as clicking “send� in an email client. But in reality, the entire process includes a series of precise mechanisms that took decades to develop.

Suppose you are to send a photo of your last trip to Panama. Upon sending, the picture’s data gets broken down into “packets� that are typically no bigger than 1,500 bytes each. Once these packets reach the intended recipient, a computer reassembles them back into an image – ready to be viewed by humans.

Today, internet technology has become so efficient that—on an average internet connection—up to 5.1 megabytes of data can be transferred in a second. The only problem is that data in transit is susceptible to digital eavesdroppers or more popularly known as hackers.

How Hackers Steal Data

A hacker has many tricks up his sleeve. If their goal is corporate sabotage, they can leverage a network of infected computers or ‘botnets’ to launch a Distributed Denial of Service or DDoS attack. They can also infiltrate networks by injecting malware, such as ‘keyloggers’ that track everything a user types.

Luckily, there is a straightforward solution that can prevent these common cyber threats. For everyday internet users, a free tool like Malwarebytes should ...

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5 Platforms that Protect Your Startup from DDoS Attacks

5 Platforms that Protect Your Startup from DDoS Attacks

Cybersecurity may not be on your list of priorities when you founded your startup. If so, then you’ve already committed one of your first mistakes in business. Looking at the big hacking incident in 2016, it’s apparent that cyber criminals are getting more sophisticated and ruthless every year. Some of them even offer on-demand DDoS services, which competitors can leverage for as little as $5. 

A DDoS attack utilizes a large network of infected computers, also known as a “botnet�, to flood the target website’s servers and deny access to real users – thus, resulting to lost revenue. It may also lead to secondary damages such as lost data, high remediation costs, and a ruined brand reputation.

To help you better understand how DDoS attacks work, you can refer to the infographic below:

Infographic source: Incapsula – The Anatomy of a DDoS Attack

To protect your startup from such attacks, below are 5 platforms you should consider:

1. Cloudflare

The most straightforward way to protect against DDoS attacks is to leverage a comprehensive security platform like Cloudflare. It has everything you need to protect your startup from security threats, including but not limited to a web application firewall (WAF), a shared SSL certificate, and advanced DDoS ...

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