Previous Blogs

November 13, 2023
IBM Extends Its Goals for AI and Quantum Computing

November 7, 2023
The Rapidly Evolving State of Generative AI

November 2, 2023
Cisco’s Webex Extends Generative AI into Collaboration

October 31, 2023
Lenovo Unites Businesses and AI Strategy

October 24, 2023
Qualcomm’s Snapdragon X Elite Solidifies New Era of AI PCs

October 10, 2023
HP Highlights PC Design Innovation

September 22, 2023
Microsoft Copilot Updates Push GenAI to the Mainstream

September 19, 2023
Intel Hopes to Reinvent the PC with Core Ultra SOC

September 6, 2023
Google Starts GenAI Productivity Onslaught with Duet AI for Workspace Release

August 16, 2023
Why Generative AI is so Unlike Other Major Tech Trends

August 9, 2023
Nvidia Enhances GenAI Offerings for Enterprise

July 31, 2023
Challenges Remain for Generative AI Tools

July 27, 2023
Generative AI Study Uncovers Surprising Facts on Business Usage

July 26, 2023
Samsung Works to Bring Foldables to the Mainstream

June 21, 2023
HPE Melds Supercomputing and Generative AI

June 14, 2023
AMD Delivers Generative AI Vision

June 6, 2023
Apple wants to redefine computing with Vision Pro headset

June 1, 2023
Hybrid AI is moving generative AI tech from the cloud to our devices

May 23, 2023
Dell and Nvidia Partner to Create Generative AI Solutions for Businesses

May 9, 2023
IBM Unleashes Generative AI Strategy With watsonx

May 4, 2023
Amazon’s Generative AI Strategy Focuses on Choice

April 20, 2023
Latest Cadence Tools Bring Generative AI to Chip and System Design

March 30, 2023
Amazon Enables Sidewalk Network for IoT Applications

March 16, 2023
Microsoft 365 Copilot Enables the Digital Assistants We’ve Always Wanted

March 14, 2023
Google Unveils Generative AI Tools for Workspace and GCP

March 9, 2023
Lenovo Revs Desktop Workstations with Aston Martin

March 1, 2023
MWC Analysis: The Computerized, Cloudified 5G Network is Getting Real

February 23, 2023
Early MWC News Shows Renewed Emphasis on 5G Infrastructure

February 1, 2023
Samsung Looking to Impact the PC Market

January 18, 2023
The Surprise Winner for Generative AI

January 5, 2023
AI To Go Mainstream in 2023

2022 Blogs

2021 Blogs

2020 Blogs

2019 Blogs

2018 Blogs

2017 Blogs

2016 Blogs

2015 Blogs

2014 Blogs

2013 Blogs

TECHnalysis Research Blog

November 28, 2023
AWS Introduces Helpful AI Training Tools to Guide Users

By Bob O'Donnell

Given how quickly technologies like Generative AI have come onto the market, it probably isn’t terribly surprising to discover that in-depth knowledge of how to use these technologies or even how they work is very limited. In fact, as the recent TECHnalysis Research study on GenAI usage in the enterprise highlighted (see “A New Beginning: Generative AI in the Enterprise” for more), the lack of education on the topic is staggeringly high.

As a result, it’s great to see organizations like Amazon and its Amazon Web Services division jumping in to offer new training courses and other tools to help people get up to speed on these critical new technologies. Even better, they’re making these tools freely available, helping to ensure that they reach as wide an audience as possible.

At a corporate level, Amazon recently announced a new training and reskilling initiative it’s calling “AI Ready” that the company hopes will educate 2 million people by the end of 2025 on how to get a job in the red-hot GenAI field. The program consists of a set of 8 free training courses aimed at several different audiences including business decision makers and those interested in learning critical GenAI programming skills. In addition, in partnership with training company Udacity, Amazon is sponsoring $12 million worth of scholarships for 50,000 high-school age students from underserved and underrepresented communities through its AWS Generative AI Scholarship program. Finally, for even younger students, Amazon is also working with for a 60-minute class entitled “Hour of Code Dance Party: AI Edition” where students from kindergarten through 12th grade will work to create a virtual music video set using GenAI tools.

A few days earlier, AWS unveiled an interactive online AI app building tool called PartyRock. Based on the company’s own Bedrock AI platform and Titan Large Language Models (LLMs), the clever PartyRock is described by Amazon as an AI playground. It helps even non-programmers build their own simple GenAI-powered mini apps using a wizard-like interface and pre-built templates. For example, you can use PartyRock to create a customized tour guide creation tool, cartoon animal illustrator, clever email response generator, and much more with just a few clicks.

Those with little or no programming experience can leverage some pre-built templates to make the process easier, while those with some programming experience can start from scratch and build relatively sophisticated tools by linking together a number of pre-built modules and customizing the types of output that each one generates.

In the process of using the tool, PartyRock helps people at multiple levels of technical expertise better understand how GenAI technology works and how it can be deployed. It also manages to somewhat demystify GenAI and help make it more approachable. By seeing how these mini applications are built, you definitely get a better understanding of how the technology works (and, frankly, how many applications are constructed).

The fears around potential job loss that GenAI has triggered in many people makes these tools even more valuable than other types of training options that tech companies have offered for years. There are serious—and valid—concerns about the impact that GenAI could have on certain roles, so it’s great to see these kinds of efforts from Amazon.

Reskilling and retraining in the era of AI is undoubtedly going to be a big issue, and I expect many more tech companies to create these and other kinds of programs to help both those who are already employed in the tech industry and others who may be interested in joining. There’s little doubt that the next few years are going to lead to some fairly dramatic shifts in the workplace, in the types of jobs that become available, and quite frankly, the kinds of jobs that could disappear. What’s particularly important about something like PartyRock and Amazon’s other training programs is that they can open up new opportunities for those who don’t have traditional degrees and bring a whole new group of workers into the tech world. Given the issues around bias and other related concerns that have already popped up in early iterations of GenAI-powered tools, that’s definitely an important step in the right direction.

Here's a link to the original column:

Bob O’Donnell is the president and chief analyst of TECHnalysis Research, LLC a market research firm that provides strategic consulting and market research services to the technology industry and professional financial community. You can follow him on LinkedIn at Bob O’Donnell or on Twitter @bobodtech.