5G, IoT, Big Data, Analytics, AI & Cloud
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Can artificial intelligence cataloging be the Google for enterprise big data?

Can artificial intelligence cataloging be the Google for enterprise big data? | 5G, IoT, Big Data, Analytics, AI & Cloud | Scoop.it

Can artificial intelligence cataloging be the Google for enterprise big data?

Al Sedghi's insight:
Unlike a Relational Database Management System (RDMS), when data is available in Hadoop (on HDFS), there is no assurance that the data, at a record level is “good,” or consumable. What’s more alarming is when retrieving this data (whether it is with Hive, Spark, Impala, etc.) the user will not be to know whether the data is “bad” or not. This is one of many challenges in what’s referred to as “on-boarding data”. Other key areas to consider include: organization as well as history management.

Having an intelligent data management platform offering self-service data analytics will help marketers understand their customers and find similar customers across various marketing channels, devices, ad campaigns, etc. 

This platform must have the ability to create models that progress from descriptive to predictive to prescriptive analytics. Users evaluate possible alternatives and predict outcomes through simulation analysis.

This leads me to the next point. Why is AI a revived trend? It is all about the three Vs: velocity, variety, and volume. Platforms that could process the three Vs with current and conventional processing models which scale horizontally provide ten to twenty times cost advantage over traditional platforms. 

We will be able to realize the highest value from applying AI to high-volume repetitive tasks when uniformity and stability is more effective than getting individual intuitive oversight at the expense of human error and cost.
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Navigating a Successful Journey toward IoT and Big Data in the Cloud | IT News Africa – Africa's Technology News Leader

Navigating a Successful Journey toward IoT and Big Data in the Cloud | IT News Africa – Africa's Technology News Leader | 5G, IoT, Big Data, Analytics, AI & Cloud | Scoop.it

"It is predicted that by 2020, 25 billion devices will be connected to IoT and 600 zettabytes of information will be sitting in

Al Sedghi's insight:
IoT is more about devices, data and connectivity. The real significance of Internet of Things is about creating smarter products, delivering intelligent insights and providing new business results. 

As we go in future, millions of devices will get connected, internet of things will produce an enormous inflow of Big Data. The key challenge is envisioning and revealing insights from various categories of data (structured, unstructured, images, contextual, dark data, real-time) and in context of your applications.   

I believe gaining intelligence from Big Data using artificial Intelligence technologies is the key enabler for smarter devices and a connected world. 

The final objective is to connect the data coming from sensors and other contextual information to discover patterns and associations in real-time to positively impact businesses. Current Big Data technologies must be expanded with the goal to effectively store, manage and gain value from continuous streams of sensor data. 

In the case of connected cars, if 25 gigabytes of data is being sent to the cloud every hour, the main goal must be to make sense of this data, detecting data that can be consumed and rapidly acted upon to develop actionable events. The evolution of AI technologies will be key to grow insights rapidly from massive streams of data. 

With IoT, Big Data analytics would also need to move at the edge for real-time decision making; Here are some examples: i) detecting crop patterns in agriculture plants using drones, ii) detecting suspicious activities at ATMs or iii) predicting driver behavior for a connected car.
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