6 Hour Video Tutorial on AI, ML, AWS Glue, Amazon Athena, and S3 Data Lakes

How Would You Like 6 Hours of Video Tutorials that Will Comprehensively Teach You How to Use the Best, State-of-the-Art AWS Services using Best Practices to Keep Up with the Rapid Pace of Technological Changes?

Tomorrow (8-19-2019) is the scheduled publish date for a video tutorial I created for an online tech training company. That tutorial is about 2.5 hours long, but I created 6 hours of that video tutorial that covers very important information other than how to use the services. Only the 2.5 hours of training will be in that course, which is awesome!

So, I’m creating both a blog post here on the eliminated content in video-format from my YouTube account. I’ll embed the first video with augmented content below.

 

I find that the reason some really awesome technologies aren’t as widely adopted as they should be (other than for very large enterprises), is because courses usually just say “how” to do something.

What’s in this FOR ME???

If you understand “why” & “where” these technologies fit into your business, what business problems they solve, & then learn “how” to implement them, you’re more likely to take the time to advance your skills & use the very best technologies.

Thus, that’s my approach for this series, both in blog format & video format.

First, let me set the stage for this series with some “What if you could…” questions, kind of like “In a perfect world-type” questions.

WHAT IF YOU COULD:

What If You Could…

  1. What if you could know in real-time what your customers want, the prices they’re willing to pay, & the triggers that make them buy more in real-time?
  2. What if you could have 1 unified view of your data no matter where in the world it’s stored?
  3. What if you could query your global data without the need to move into another location in order to perform any type of analysis you want to?
  4. What if you could automate any changes made to underlying data stores, keeping the 1 unified view in sync at all times?

What if you also could….

  1. What if you could have a single, centralized, secure and durable platform combining storage, data governance, analytics, AI and ML that allows ingestion of structured, semi-structured, and structured data, transforming these raw data sets in a “just-in-time” manner? Not ETL, extract, transform, & load, but ELT, extract, load THEN transform when you need the data performing ELT on the fly?
  2. Mapping disparate data, or, data preparation, is the most time consuming step in analytics. What if you could drastically reduce the amount of time spent on this task?
  3. What if you could “turbo-charge” your existing apps by adding AI into their workflows? And build new apps & systems using this best-practice design pattern?
  4. What if you could future-proof your data, have multiple permutations of the same underlying data source without affecting the source, and use a plethora of analytics and AI/ML services on that data simultaneously?

What is stated on the two previous images would be transformative in how your business operates. It would lead to new opportunities, give you a tremendous competitive advantage, the ability to satisfy your customers & additionally accrue new customers, wouldn’t it? Now, imagine having all these insights on steroids!

Gartner’s 2019 Top Strategic Technology Trends are annually published in a report entitled, “The Intelligent Digital Mesh.

The Intelligent Digital Mesh for 2019

Gartner defines a strategic technology trend as one with substantial disruptive potential that is beginning to break out of an emerging state into broader impact and use, or which are rapidly growing trends with a high degree of volatility reaching tipping points over the next five years. In other words, “be prepared” today; don’t wait for these technologies to be 100% or even 40% mainstream: then you’re too late.

The Intelligent category provides insights on the very best technologies, which today are under the heading AI.

The Digital category provides insights on the technologies that are moving us into an immersive world.

The Mesh category provides insights on what technologies are cutting-edge that intertwine the digital & physical worlds.

In the Intelligent category, we have the AI strategic trends of:

  • Autonomous Things exist across 5 types: ROBOTICS, VEHICLES, DRONES, APPLIANCES, & AGENTS
  • Augmented Analytics is the results of the vast amount of data that needs to be analyzed today. It’s easy to miss key insights from hypotheses. Augmented analytics automates algorithms to explore more hypotheses through data science & machine learning platforms. This trend has transformed how businesses generate analytics insights.
  • AI-driven Development highlight the tools, technologies & best practices for embedding AI into apps & using AI to create AI-powered tools.

In the Digital category, we have the Digital strategic trends of:

  • A Digital Twin is a digital representation that mirrors a real-life object, process or system. They improve enterprise decision making by providing information on maintenance & reliability, insight into how a product could perform more effectively, data about new products with increased efficiency.
  • Empowered Edges is a topology where information processing, content collection, & delivery are placed closer to the sources of the information, with the idea that keeping traffic local will reduce latency. Currently, much of the focus of this technology is a result of the need for IoT systems to deliver disconnected or distributed capabilities into the embedded IoT world.
  • Immersive Experiences: Gartner predicts through 2028, conversational platforms will change how users interact with the world. Technologies like augmented reality (AR), mixed reality (MR) & virtual reality (VR) change how users perceive the world. These technologies increase productivity, with the next generation of VR able to sense shapes & track a user’s position, while MR will enable people to view & interact with their world

In the Mesh category we have the strategic trends of:

  • Blockchain is a type of distributed ledger, an expanding chronologically ordered list of cryptographically signed, irrevocable transactional records shared by all participants in a network. Blockchain allows companies to trace a transaction & work with untrusted parties without the need for a centralized party such as banks. This greatly reduces business friction & has applications that began in finance, but have expanded to government, healthcare, manufacturing, supply chains & others. Blockchain could potentially lower costs, reduce transaction settlement times & improve cash flow.
  • Smart Spaces are evolving along 5 key dimensions: Openness, connectedness, coordination, intelligence & scope. Essentially, smart spaces are developing as individual technologies emerge from silos to work together to create a collaborative & interaction environment. The most extensive example of smart spaces is smart cities, where areas that combine business, residential & industrial communities are being designed using intelligent urban ecosystem frameworks, with all sectors linking to social & community collaboration.

Spanning all 3 categories are:

  • Digital Ethics & Privacy represents how consumers have a growing awareness of the value of their personal information, & they are increasingly concerned with how it’s being used by public & private entities. Enterprises that don’t pay attention are at risk of consumer backlash.
  • Quantum Computing is a type of nonclassical computing that’s based on the quantum state of subatomic particles that represent information as elements denoted as quantum bits or “qubits.” Quantum computers are an exponentially scalable & highly parallel computing model.  A way to imagine the difference between traditional & quantum computers is to imagine a giant library of books. While a classic computer would read every book in a library in a linear fashion, a quantum computer would read all the books simultaneously. Quantum computers are able to theoretically work on millions of computations at once. Real-world applications range from personalized medicine to optimization of pattern recognition.

This course covers most of these strategic IT trends for 2019. You can read more about each category by visiting the entire report at the URL on the screen http://bit.ly/Gartner_IDM_2019: it’s not only a fascinating read, but also a reality check on what you should be focusing on today.

The 4th Industrial Revolution

Today we’re experiencing what has been called the 4th Industrial Revolution. A broad definition of the term Industrial Revolution is “unprecedented technological & economic development that have changed the world.”

The timeline on the above slide indicates when each Industrial Revolution occurred & what new inventions defined such a large-scale change.

The emergence of the 4th Industrial Revolution is attributed to primarily technological advances built atop the technologies that were paramount in Industry 3.0.

As the pace of technological change quickens, we need to be sure that employees & ourselves are keeping up with the right skills to thrive in the Fourth Industrial Revolution.

Quote by Eric Schmidt, Former Executive Chairman, Google

In the image above is a quote that should confirm that having 1 location for all your global data is essential with so much data in order to take advantage of all your data for analytics (via the AWS Glue Data Catalog.)

The last image in this post explains the next video/blog post in this series.

The next section will cover…

See you there!

#gottaluvAWS!

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