Is data science a pre-requisite for AI? The data science & AI hierarchy of success

Note: this is Part 2 of 2 introducing The Data Science & AI Hierarchy of Success. To Read part 1, “Fostering a Data-Driven Culture: The Data Science & AI Hierarchy of Success”, click here.

The prequel to this post established mindset and culture, in the form of Data Literacy and Democratization, as the requisite foundation for achievement at the above levels of the Maslow-inspired framework, The Data Science & AI Hierarchy of Success.

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The Rise of Deep Learning in the Enterprise

In a recent IDC report IT decision makers believe 75% of enterprises applications will use AI by 2021. Artificial Intelligence is not a new solution in fact we have seen various cycles of excitement followed by lulls. What makes this cycle any different? Two words: Deep Learning
What is deep learning?
The early stages of World War II brought about many challenges.

Tips on adding value to your business data

Data is incredibly valuable. The more of it your business generates, the easier it is to predict market and customer behaviors. Analytics solutions aren’t always the right fit for small businesses, but that doesn’t mean their data isn’t valuable. Here are some ways to add real value to your business by harnessing the power of […]

Balancing the Desire for Location Analytics with User Privacy

The Impact that MAC Randomization has on Location Analytics
Introduction
Bluetooth is a wireless personal area networking standard for exchanging data over short distances. Bluetooth low energy (BLE) (also known as Version 4.0+ of the Bluetooth specification, or Bluetooth Smart) is the power- and application-friendly version of Bluetooth that was built for the Internet of Things (IoT). The power efficiency and low energy functionality make this protocol perfect for battery operated devices.

The Fourth Network Revolution

We stand in the midst of a technological revolution. The complexity, scale, and more importantly, the pace, are unlike anything humankind has experienced before. The speed of current technological breakthroughs is disrupting almost every industry in every country while the breadth and depth of these disruptions are fundamentally altering the way we live, work, and communicate with each other.

Internet of Things (IoT) Data Continues to Explode Exponentially. Who Is Using That Data and How?

IoT and data statistics are staggering, to the point of appearing fantastical:

5 quintillion bytes of data produced every day (that’s 2.5 followed by 18 zeros)
By the year 2020, the IoT will comprise more than 30 billion connected devices
It would take a lifetime to manually analyze the data produced by a single sensor on a manufacturing assembly line

No wonder studies reveal that:

Only 26% of companies surveyed reported that their IoT initiatives have been successful

No wonder the Harvard Business Review found that:

Less than half of structured data is actively used in decision making
Less than 1% of unstructured data is analyzed or used at all

Logic dictates that what’s needed is a process for storing and analyzing the data that IoT devices and sensors produce.

Five to Thrive in a Disruptive Environment: Part 2

In my previous blog, I introduced the concept of Five to Thrive. These leadership tips can help you navigate a world of astounding change and mind-boggling opportunities. And, hopefully, avoid the risks and threats hiding around every corner.

To learn about the first three—Recognize the Source of Value, Take Action Against Blind Spots, and Stop Failing Fast—visit my previous blog.

6 CRM best practices you need to know

Most companies have customer relationship management (CRM) software to help them keep track of contact information and purchase history. But having a large database is worthless if you’re not using it to build long-lasting relationships. To keep existing clients coming back and bring new ones in, follow these CRM best practices.