SQLSatOregon_kgorman_keynote_NIAIMLEC.pptx

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Navigating the Intersections of
AI, Machine Learning, and
Economic Challenges as a
Technical Specialist
Adapting and Thriving:

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Who am I?
 Director of Technical Advocacy at Silk
 30 Years in the Tech Industry
 DBA (Oracle, SQL Server, MySQL…)
 DevOps, Analytics and AI
 Cloud Migrations and High IO Infrastructure
https://www.linkedin.com/in/kellyngorman/
https://dbakevlar.com
Various Social Media platforms as DBAKevlar!

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In Last Year’s Episode…
Although we were being told our jobs were in jeopardy,
in truth, they would remain, just more cloud savvy.
”Clickbait” now tells us that AI will end our careers, but
there’s a lot of confusion around role vs. hype.
Layoffs to the tech industry were impactful, leading to
extensive stress in the community.
So how do we overcome it all?

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Where We Were
and Where
We’re Going…

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Pandemic and the Economy
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Workers who Went Remote*
Global Supply Chains Disrupted
Stalled Innovations for Business
Startup Failures
Impact of Pandemic
Links in References

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Not Only to
Our
Professional
Lives…
0% 5% 10% 15% 20% 25% 30% 35% 40%
Economic Decline
Unemployment/Joblessness
Mental Health Impact (U.S.)
Average School Year Lost
Personal Impact
Reference Page has Links

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Remote Work
 From 2020 on, Remote work was adopted.
 Most tools and software couldn’t handle the additional workload of so many
remote workers.
 Companies had to pivot to support remote work.
 Huge Real Estate impact considering the amount of office space.
 Benefits of less commuting, but also remote workers rights matured in 2022
 2023 saw an increase in pressure to bring workers back into the office, due to
infrastructure, cyber security threats, etc.

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Supply Chain and Jobs
 Decreased workers, flights, shipping and ports
experienced congestion.
 Geopolitical tensions and trade restrictions
resulted.
 Shift in consumer behavior due to increase in
online shopping and demand for new products.
 All this resulted in financial strains and
bankruptcies.

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Decrease in IT Budgets and
Layoffs
 During the pandemic, small businesses faced significant impact
and closures.
 2022 began the impact to the tech sector, an area that was the
most resilient.
 Many tech industries restructured, reallocated resources and
consolidated, leading to layoffs.
 Assumption around AI demand drove some decisions as well.
 Many roles that may not have had the assumption of AI
inclusion, now included AI features.

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The Crisis of Big Tech
Big Tech has had a large group of specialized roles.
 Needs skilled workers for consumers.
 Wants to decrease dependency on remote work.
 AI options for customer service, customer support.
In the short term, this may appear positive for Big Tech, but
customers and technologists may win in the long run.
https://www.forbes.com/sites/forbesbusinesscouncil/2023/04/27/the-future-of-tech-workers-how-to-address-
the-disconnect-between-perception-and-reality

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As more organizations migrate to the
cloud, ensuring the security of data,
applications, and services and
infrastructure in ALL environments
becomes paramount as part of the AI
movement.
The Truth is…

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AI In Enterprise
AI Pioneers
 AI/ML is in production
69% 31%
AI Explorers
 AI/ML is in Pilot or
POC
28% 30%
16%
27%
Widely
Implemented and
driving critical biz
Implemented
for a few use
cases
Single use
case or a
few depts.
Minor
components of
a broader
strategy
Global Trends in AI Report 2023

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AI is Revenue Driven
0%
20%
40%
60%
80%
100%
120%
$11M-$99M $100M-$499M $500M-$999M $1B-$4.9B $5B+
Company Revenue
AI Pioneers AI Explorers

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Top Challenges for IT with AI
0%
5%
10%
15%
20%
25%
30%
35%
Data Management Security Compute Performance Storage
Percentage of Challenge

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With More AI Comes More Cloud
0%
10%
20%
30%
40%
50%
60%
Public Cloud Data Center 3rd Party Data Center IoT Device/Gtwy
Optimizing Infrastructure
AI Pioneers AI Explorers
All stats for these slides came from white paper from: http://www.spglobal.com/marketintelligence

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AI’s Influence on the Tech
Professional’s Landscape
Automated Tasks: AI streamlines repetitive tasks, allowing technical professionals to focus on
complex problem-solving.
Data Analysis: Enhanced data analytics capabilities lead to more informed decision-making.
Continual Learning: AI's rapid evolution necessitates regular upskilling and adaptation.
New Opportunities: AI opens doors to innovative roles and projects, driving tech's frontier
forward.
Ethical and Security Considerations: Professionals must navigate the ethical implications of
AI deployment and usage.

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Over 700K jobs
open, (as of two
weeks ago).
https://www.cyberstates.org/

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Tech industry
salaries are
also on the rise.
https://fortune.com/2023/10/05/salaries-hiring-ai-really-happening-with-us-tech-jobs-careers-art-zeilie/

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Average time an
unemployed tech
professional is
unemployed, secures
new employment of less
than 2 months.
https://techcrunch.com/2023/06/26/signalfires-state-of-talent-report-2023/

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z Of the 78 million jobs
that AI will eliminate,
there’s an estimated 97
million new jobs AI will
create.
https://edisonandblack.com/pages/over-97-million-jobs-set-
to-be-created-by-ai.html

https://www.weforum.org/agenda/2023/09/jobs-ai-will-create/
Where are the jobs and
Where aren’t they?

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Cyber-Security Job Boom
The cybersecurity landscape is evolving rapidly, with old roles evolving quickly:
 Threat Hunter: Proactively seeks vulnerabilities before exploited by malicious
actors.
 Cloud Security Specialist: Focuses on securing data and applications in the cloud.
 Security Consultant: Advises businesses on how to protect themselves from
cyberattacks,
 Machine Learning/AI Security Specialist: Works at the intersection of AI and
cybersecurity.
 Zero Trust Architect: Builds and implements zero-trust security model.

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The Future of Data Science Jobs are
Promising and Multi-faceted:
 64% increase in roles in Data analysts
 180% increase in Data Scientists or specialization in data science.
 AI Model Trainers: Experts who fine-tune models
 Data Engineers: Prepare data for study
 Machine Learning Engineers: Design and implement ML apps
 Data Science Ethics Roles will be created.
Actual data analysis will become more automated.

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The Relational Database for
the Win with Cyber Security
Principle of Least Privilege: Adopting a "never trust,
always verify" approach, where network access is
restricted based on need-to-know principles.
Micro-segmentation: Breaking up security
perimeters into smaller zones to maintain separate
access for separate parts of the network.
Existing security and policies: Protecting data will
become more prevalent to protect all the data.

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Same DBA Channel, Different DBA Day
 Technical positions will be up 84% and database will continue on.
 Those with soft skills, along with superior tech skills will overcome.
 Don’t rely on just what you already know.
 Need to now know both cloud services and infrastructure, not just
database platform.
 Automation of tedious tasks will continue to shift the DBA role and the title
with it.
https://pega.com/future-of-it
https://www.bls.gov/opub/mlr/2023/article/industry-and-occupational-employment-projections-overview-and-
highlights-2022-32.htm

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The Return of the Relational
Database…
 Structured data can assist in controlling ”data sprawl”.
 Data Quality and Integrity is more robust through decades of features.
 For advanced/complex AI and ML models, RDBMS scalability is often the go-to.
 New extensions for machine learning and AI are included in Oracle and SQL Server.
 Critical data and advanced RDBMS level security will win the day.
 Support of structured and unstructured data- the RDBMS becomes the evolved
solution.

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The DBA as the Cloud Specialist
 Cloud Solution Architect (CSA) in Data and AI OR infrastructure: Most
common role for DBAs transitioning.
 Cloud Developer/Engineer
 Cloud Site Reliability Engineer: 2nd most popular for DBAs, especially
backup/recovery specialists
Certifications can help, but only slightly.
https://digitalcloud.training/navigating-uncertainty-the-future-of-cloud-jobs-amidst-recent-tech-layoffs/

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Being the Bestest
Consultant
 Go small tech and subcontract to Big Tech
 Know that big tech laid off the people they needed to ”keep the lights on”
 Need varying specialists and generalists.
 Learn Data Analytics and AI
 Learn Cloud- Azure and GCP, (similar) and AWS services and infrastructure.

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Avoiding Layoffs- Make Yourself More
Bulletproof
 Communicate the value you bring, including a weekly status.
 Keep your LinkedIn profile up to date.
 Network and network more- start looking for your next job a year+.
 DON’T overwork on hours. Outside of special situations, I recommend
45 hours a week to avoid burn-out.
 Don’t let others waste your time- justify what you spend time on.

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Tips for For Everyone
 Your Network is your Lifeline
 Redo your CV/Resume and pepper AI in everywhere…
 Pursue certifications if they provide you value and you are learning
something you can use.
 Know cloud infrastructure and especially services.
 Pay more attention to what the role does than the title it’s been
granted in job searches.

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If You Want To Build Your Own Role
Are you hearing, “That’s outside your role” or ”We don’t have anyone to fill that role.” often?
You should be passionate about the main focus of the potential role.
It must encompass an area the business and a loss of revenue that can be proven.
You must have the knowledge, skill and initiative.
Carefully identify what the role should pay and be reasonable.
Build out a full job description and what the value the job role, if filled will bring, including
potential company revenue or savings.

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Self Care (Yeah, it’s Part of This)
• Have hobbies outside of technical work,
(even if it’s doing geeky, technical stuff.)
• When you have a difficult day, do
something for you.
• Have a network of individuals that you
feel comfortable reaching out to for
support.
• Control issues != true leadership skills
40% of
technical
industry has
stated mental
health impact
since the
pandemic.

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Remember, Don’t Stagnate
 Learn new skills/technologies
 Bridge out to new roles or challenges
 Never neglect soft skills
 Shift from Negative Online Presence
 Foster networking skills
 Acceptance that change is the one thing that is constant.

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What We’ve Learned
 AI Isn’t REALLY Coming for Our Jobs
 AI May Change Many of Our Jobs
 AI Will Add More Jobs Than it Will Remove.
 We CAN Pivot to Make Ourselves More Resilient
to AI and Economic Downturn Change.
 We Can Reinvent Ourselves With New Titles
While Doing Much the Same Job We Already Do
 Keep Skills Current and Move With AI, not
Against It.

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Reference Links
 https://www.bls.gov/opub/mlr/2022/article/telework-during-the-covid-19-pandemic.htm
 https://www.mckinsey.com/industries/real-estate/our-insights/americans-are-embracing-flexible-work-and-
they-want-more-of-it
 https://www.un.org/development/desa/dpad/publication/world-economic-situation-and-prospects-
february-2021-briefing-no-146/
 https://sgp.fas.org/crs/misc/R46554.pdf
 https://www.cnn.com/2023/01/30/health/covid-learning-loss-study-wellness/index.html
 https://www.ey.com/en_us/real-estate-hospitality-construction/ey-survey-on-future-workplace-index
 https://www.weforum.org/agenda/2023/09/jobs-ai-will-create/

Thank you!
Kellyn Gorman, Director of Technical Advocacy, Silk
https://www.linkedin.com/in/kellyngorman/

SQLSatOregon_kgorman_keynote_NIAIMLEC.pptx

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