Why so far? Because there’s a new species on the block. A team of data scientists guided by their leader, Dr. Kathrin Kind, Chief Data Scientist and AI A. Director Nordics, are in the process of creating them? For the moment, let’s entertain the notion of referring to these AI entities as Cognizant Bots.

1. VOL 05 I ISSUE 08 I 2024
AI Revolu on
Transforming Industries
and Reshaping Society
AI and Privacy
Balancing Innova on
with Data Protec on

3. "Leadership is not about titles,
positions, or owcharts.
It is about one life inuencing
another."
- John C. Maxwell

4. Editor’s
Note

5. Advancement Through
AI Leadership
n artificial intelligence (AI), it's crucial to recognize the trailblazers driving
Iinnovation forward and shaping the future of this transformative technology.
As we look to 2024, Top 10 AI Leaders Shaping Innovation 2024 stand out for
their visionary contributions, groundbreaking research, and relentless pursuit of
excellence. These individuals and organizations are at the forefront of AI
innovation, pushing boundaries and unlocking new possibilities across industries.
From pioneering advancements in machine learning algorithms to spearheading
ethical guidelines and standards for AI development, these leaders embody the
spirit of innovation and collaboration that defines the AI community. Their work
fuels technological progress and addresses critical societal challenges, from
healthcare to climate change.
They inspire future generations of researchers, engineers, and entrepreneurs to
push the boundaries of what's possible with AI, driving positive change and
shaping a better future for all.
These AI leaders will continue to drive innovation, foster collaboration, and push
the boundaries of what's possible with artificial intelligence. Their vision,
dedication, and passion will shape the trajectory of AI development for years to
come, paving the way for a future where AI transforms industries, enriches lives,
and drives sustainable progress.

6. C
O
V
E
R
S
T
O
R
Y
08

7. Balancing Innova on with Data Protec on
Articles
AI Revolution
Transforming Industries and Reshaping Society
34
AI and Privacy
18
CXOs
- By Marisa Tschopp
16
A Glimpse of the Evolution of AI into
the Past, Present and Future
Embracing the Future: Unleashing the
Power of AI in Technology Growth
- By Jillian Powers
22
Generative AI
A New Strategic Approach for Companies
- By José Oliveira
24
Transforma ve Leadership in FinTech and Beyond
Profiles
Vanessa Eriksson
A Visionary Leader in Data Strategies
30
Xiaochen Zhang
26

8. May, 2024
Pooja M Bansal
CONTENT
DESIGN
SALES
TECHNICAL
FOLLOW US ON
WE ARE ALSO AVAILABLE ON
CONTACT US ON
Editor-in-Chief
sales@ciolook.com
SME-SMO

9. Brief
Company Name
Greg Curcio
Director
Greg has over 20-year career in strategy & transformation,
technology, communications, customer and digital
experiences, governance & risk, and people culture and
development.
Chris Aidan
VP Innovation,
Emerging &
Inclusive Technologies
An innovative and entrepreneurial executive, Chris brings
extensive experience in leading digital transformation and
pioneering emerging technologies within the fashion and
beauty industry.
The Estée Lauder
Companies Inc
www.elcompanies.com
Knox City Council
www.knox.vic.gov.au/
Abhishek Sinha
Director - Enterprise
Analytics &
Visualization
Simon provides technical leadership and research direction.
He is specialized in applied mathematics, numerical
analysis, simulation techniques, high performance
computing, computer architecture, grid computing, statistic ,
data science, and bioinformatic
Sage Therapeutics
www.sagerx.com
Jillian Powers
Responsible AI
Jillian speaks for the people. She is an applied sociologist
with experience in executing complex and immersive
research projects and digital experiences, specifically
around the development, deployment and governance of
data-enabled systems.
JPMorgan Chase & Co
www.jpmorganchase.com
José Oliveira
CEO
José is the CEO of BI4ALL, pursuing the goal of
transforming data into insights, and the mission is to help
organisations to be more agile, flexible and vigorous.
BI4ALL
www.bi4all.pt/
Featured Person
Simon See
Senior Director, Nvidia
AI Technology
Centre And AI Nation
Simon provides technical leadership and research direction.
He is specialized in applied mathematics, numerical analysis,
simulation techniques, high performance computing,
computer architecture, grid computing, statistic , data
science, and bioinformatics.
Marisa Tschopp
Human-AI
Interaction Researcher
Marisa researches AI from a psychological perspective,
addressing a variety of questions about psychological
phenomena with a particular interest in ethical implications
scip AG
www.scip.ch/en/
NVIDIA
www.nvidia.com
Kathrin Kind
Chief Data Scientist and
AI A. Director Nordics
Kathrin is an entrepreneurial and delivery-focused executive
with 24 years’ experience in SW engineering, 21 years'
experience developing autonomous- electrical- conventional
vehicles with vast Big Data's challenges.
Cognizant
www.cognizant.com/
Vanessa Eriksson
Founder and
Senior Advisor
Award winning Data & AI Influencer (Nordics), Vanessa
is a pioneer and a leading-edge data practitioner with
several years of experience in Data Strategies; including
Data Security & Compliance and Innovation.
Vanessa Eriksson AB
www.vanessaeriksson.com
Xiaochen Zhang
CEO &
Executive Director
With over 20 years of experience in financial markets and
international development, Xiaochen has a passion for
leveraging emerging technologies to create a better world.
FinTech4Good & AI 2030
www.fintech4good.co

12. What is innovation? Are only humans capable
of innovation? Instead of going for a bookish
definition, let us reflect on the most
innovative being in the universe, which, so far, is us. As
the Earth’s evolutionary clock developed us, homo
sapiens, on the times of aeons, by the tides of natural
selection, we, humankind, became nature's best
innovation so far.
Why so far? Because there's a new species on the block.
A team of data scientists guided by their leader, Dr.
Kathrin Kind, Chief Data Scientist and AI A. Director
Nordics, are in the process of creating them? For the
moment, let's entertain the notion of referring to these AI
entities as Cognizant Bots.
“Actually, I must interject here,” began Dr. Kind with a
gentle firmness, “the concept of 'Cognizant Bots' strays
into the realm of fiction. And to clarify, our team at
Cognizant isn't venturing into their creation, although we
do develop intelligent chatbots” she clarified, embodying
patience.
“My apologies for the confusion,” I quickly amended
with a smile, aiming to maintain the light-hearted spirit
of our discussion. “I merely sought to paint a vivid
backdrop for our conversation, given that you’re the
distinguished figure in our anthology, ‘Top 10 AI
Leaders Shaping Innovation, 2024’.”
Seeing a glimmer of understanding in Dr. Kind’s eyes, I
seized the moment to transition the topic, ensuring our
conversation remained engaging and insightful. “Now,
Dr. Kind, if I may pivot slightly, I’m keenly interested in
hearing about your personal voyage into the realms of
data science and AI. What was the beacon that guided
you to this pioneering field?”
This shift not only acknowledged Dr. Kind’s expertise
and leadership but also opened the door to a deeper,
more reflective conversation about her contributions and
vision in the ever-evolving landscape of AI and
technology. “My journey into the realm of data science
and AI has been a convergence of curiosity, a passion for
solving complex problems, and a relentless pursuit of
innovation”, answered Dr. Kind.

13. The Fascination
From a young age, she was fascinated by technology's
potential to transform lives and industries. This
fascination was fueled by her interest in the realization
that data, when intelligently analyzed and applied, can
uncover previously hidden insights, driving innovation
and creating value across all sectors of society.
The turning point came when Dr. Kind recognized the
transformative power of AI in revolutionizing fields such
as transportation, healthcare, and energy—areas where
my interests deeply align with creating a positive impact
on the planet and certain areas of society.
Working on autonomous vehicles, where she developed
the safety-critical functions for autonomous parking,
country road, and motorway pilots herself and the
groundbreaking work in computing and AI necessary for
those functions to work, she saw the importance of
relentless innovation and the strategic foresight needed
to navigate the rapidly evolving tech landscape.
According to Dr. Kind, this journey is not just about
advancing technology for technology's sake but about
leveraging data science and AI as tools to enhance
human capabilities, make informed decisions, and forge
a sustainable, efficient, and deeply interconnected future.
Fascinating. Yet, I remained quit.
An Impactfully Empowering Innovation
Dr. Kind continued, “You know, the most fulfilling
aspects of my role as Chief Data Scientist and AI
Director lie in three main areas: innovation, impact, and
empowerment”.
“I'd start with innovation, which is at the core of
everything we do. The opportunity to work at the
forefront of AI and data science technology, where we're
constantly pushing the boundaries of what's possible, is
incredibly exhilarating”. Each discovery can be the key
to unlocking new industries or revolutionizing existing
ones. This constant pursuit of innovation is not just
intellectually satisfying; it's a driving force for societal
progress.
Then second, the impact of their work at Cognizant is
profound, added Dr. Kind. There is potential to
significantly improve quality of life, make businesses
more sustainable, and solve some of humanity's most
pressing challenges today. Whether it's through
improving healthcare outcomes with predictive analytics,
enabling smarter cities that use resources more
efficiently, or making education more accessible through
personalized learning experiences, the potential for
positive change is vast. Seeing these impacts materialize
is deeply rewarding.
Last but not least, leadership is a critical aspect of Dr.
Kind's role in building a place with a strong emphasis on
empowering her team. Cultivating an environment where
creativity, experimentation, and learning are encouraged
is vital for nurturing the next generation of AI and data
science leaders. She says, “Empowering our team to take
bold risks and innovate ensures that we stay at the
cutting edge of technology and maintain our competitive
edge. Witnessing individuals grow, take on challenges,
and contribute meaningfully to our mission is
exceptionally gratifying”.
In short, Dr. Kind's role is not just a job but a calling
because it combines driving innovation, creating
significant positive impact, and empowering brilliant
minds to explore their fullest potential.
True to that.
Then I quietly asked, “Dr. Kind, how do you approach
building and leading international, cross-functional
teams in your organization?”
Deep Rooted Ethos
She answered that building and leading international,
cross-functional teams is an art that requires a deep
understanding of technology, empathy for diverse human
experiences, and a clear vision for the future. Her
approach is rooted in three key principles: visionary
leadership, inclusive collaboration, and relentless
innovation. “I start by setting a clear, compelling vision
that aligns with our overarching mission to drive
transformative change through AI and data science”, she
stated. This vision serves as a north star, guiding their
team's diverse talents and efforts towards a common
goal. It's essential that this vision is communicated with
clarity and passion, inspiring team members to transcend
geographical and cultural boundaries in pursuit of their
shared objectives, said Dr. Kind.

14. cultures. Lastly, leveraging technology to bridge the
gap—whether through virtual collaboration platforms or
AI-driven tools—ensures their teams remain connected,
engaged, and inspired regardless of their physical
location.
Dr. Kind said, “My approach to building and leading
international, cross-functional teams centers on fostering
a shared vision, embracing, and leveraging diversity,
and cultivating an environment where innovation and
collaboration flourish”. This strategy ensures that they
are not just building teams but nurturing a global
community of innovators committed to making a
significant impact through AI and data science.
A Positively Dr.iven Force
It is praiseworthy. Then I said that there must be values
or principles that she had to prioritize when mentoring
and leading her team of engineers, and Dr. Kind agreed.
“I lead my engineers with a focus on innovation,
integrity, and growth. We push boundaries for impactful
tech, fostering a culture of excellence, curiosity, and
collaboration”. Respect, open communication, and data-
driven decisions are paramount. “We're building not just
skilled engineers but individuals driven to make a
positive impact through technology”, she added.
Sharing more about her stimuli, she said that in the
rapidly evolving field of AI and data science, her
motivation and drive stem from a profound belief in the
power of technology to create a better future, a relentless
curiosity about her customers, their customers, and a
deep commitment to ethical innovation. “These are
underpinned by principles inspired by some of the
greatest innovators of our time”.
From climate change and renewable energy to healthcare
and education, the opportunity to make a tangible,
positive impact on society at Cognizant is a powerful
motivator. This ambition to contribute to a future where
technology elevates humanity and the planet fuels her
passion and dedication.
The Lightspeed Reality
Dr. Kind also believes that AI and data science are fields
where discoveries and innovations happen at a lightspeed
pace. “This ever-changing landscape feeds my
Understanding that innovation thrives in diversity, she
prioritizes creating an environment where diverse
perspectives are not just welcomed but are considered
crucial for their success. This means fostering a culture
of respect, where team members from different
backgrounds, with varied skill sets and perspectives, can
collaborate effectively. Regular, open communication
channels and tools that facilitate seamless collaboration
are key. Empowering local leadership within these teams
ensures that cultural nuances are respected and leveraged
to enhance team dynamics and problem-solving
capabilities.
Rewarding Curious Risk-Taking
Here, Dr. Kind shared that she encourages a culture
where curiosity is nurtured and calculated risk-taking is
rewarded. Building cross-functional teams means
bringing together expertise from different
domains—software engineering, machine learning,
product design, or user experience—to innovate at the
intersections of these fields. “By setting up frameworks
that encourage experimentation and learning from
failures, we foster a resilient mindset that drives
continuous improvement and breakthroughs in uncharted
territories”, she added.
This involves regular cross-team interactions to share
insights, challenges, and successes, thus building a
cohesive community that transcends physical locations.
Leadership development programs tailored to cultivate a
global mindset among managers ensure that their
leadership practices are consistent yet adaptable to local

15. intellectual curiosity, pushing me to learn continuously,
question the status quo, and explore new possibilities”.
“As we push the boundaries of what's possible, I believe
in the responsibility to ensure that our innovations
benefit society and do not exacerbate inequality or harm
is paramount. This principle of ethical innovation guides
our decision-making processes, ensuring that we're not
just focused on technological advancement but on doing
so in a way that respects and enhances human dignity
and equity”.
Finally, she says the motivation to build and be part of a
community of like-minded individuals working towards
common goals is a significant driver. The collaboration
shared excitement, and collective brainpower of a
diverse team solving complex problems is incredibly
energizing. Knowing that they are part of something
larger than themselves, a global effort to harness the
power of AI and data science for good provides a deep
sense of purpose and community.
Dr. Kind said her motivation comes from the desire to
leverage AI and data science to build a better future, her
endless curiosity about technology's potential, her
commitment to ethical innovation, and the power of
community and collaboration. “These factors fuel my
drive to lead, innovate, and contribute positively to the
world through our work in this fascinating field”.
Techno-Equilibrium
However, there must be an equilibrium through which
she balances the technical aspects of her role with the
strategic and business-oriented responsibilities. Sharing
it, Dr. Kind said, is akin to conducting an orchestra
where individual musicians' technical prowess and the
performance's overarching harmony are essential.
“Technical depth informs my strategic vision. I
understand strengths and limitations of technologies
(e.g., computing architecture) to drive innovation, make
informed decisions, and earn team trust”.
Beyond problem-solving, Dr. Kind focuses on strategic
foresight. She tracks emerging tech trends to ensure
innovation aligns with long-term goals and societal
needs. “I bridge the gap between technical excellence
and business goals”, she said. "Clear communication
translates our technical wins to business value, ensuring
alignment with our strategic vision”.
Effective delegation empowers her team with technical
and strategic ownership, fostering future leaders. Dr.
Kind's leadership style integrates deep technical
knowledge, strategic vision, and continuous learning to
drive impactful innovation that aligns with business
goals and keeps them ahead of the curve.
To do it, Dr. kind has to keep herself up-to-date with the
latest advancements and trends in AI and data science.
When I asked, “How do you get inspired to do that?”
She answered, “It involves a multifaceted approach”.
Inspired by the curiosity-driven approach of
continuously pushing the boundaries of what's possible
in their respective fields.

16. Everything is Possible
Dr. Kind added that her foundation is built on a
commitment to lifelong learning. She actively engages
with research, webinars, and courses on arXiv, Udemy,
and edX to stay ahead of the AI/data science curve.
Beyond self-learning, she connects with the AI/data
science community at conferences, meetups, and online
forums (GitHub, Reddit, Stack Overflow) to stay
informed and inspired.
“I firmly think that collaborations between academia and
industry are a rich source of inspiration and knowledge”,
said Dr. Kind. By partnering with universities on
research projects or engaging with startups on innovative
applications of AI, she gains insights into emerging
technologies and their practical implications. These
collaborations often provide early exposure to
breakthroughs that have the potential to reshape
industries. “That is why I am committed to be a pro bono
lecturer and mentor”, added Dr. Kind.
Mentorship and teaching solidify her knowledge and
expose her to fresh perspectives, she said. “I actively
participate in internal innovation initiatives (e.g.,
Bluebolt) and reflect on the societal impact of our work,
finding inspiration to push boundaries for good”.
The Case in Focus
Of course, Dr. Kind has to address the most pressing
challenges and opportunities in AI and healthcare. She
briefs them in two parts:
Ai’s Promise in Healthcare
AI has the potential to revolutionize healthcare by:
Personalized medicine: AI can analyze vast patient data
to tailor treatments and interventions to individual needs.
Early disease detection: AI can analyze medical images
with high precision to detect diseases like cancer at
earlier stages.
Improved operational efficiency: AI can streamline
healthcare operations by optimizing resource allocation
and automating tasks.

17. Challenges of AI in Healthcare
Data privacy and security: Ensuring the privacy and
security of sensitive patient data is critical.
Bias in AI models: AI models can perpetuate biases if
trained on biased data. Fairness and representativeness
are essential in AI-driven healthcare.
Integration challenges: Integrating AI tools into clinical
practice requires trust and understanding from healthcare
professionals. Regulatory frameworks must adapt to
ensure AI technologies' safety and effectiveness.
“I'd summarize that AI and healthcare hold tremendous
promise for improving patient outcomes, reducing costs,
and making healthcare systems more efficient”, said Dr.
Kind. However, realizing these potential demands, they
address the significant challenges of data privacy, bias,
integration, and ethical considerations. With thoughtful
leadership and collaborative innovation, they can
overcome these hurdles. “Where Cognizant has
productionized various frameworks and solutions for our
most valued customers, unlocking the transformative
power of AI in healthcare”.
Meet the GenAIration
Dr. Kind's innovation approach blends structured
creativity with self-starter curiosity. It emphasizes
diverse inputs, iterative learning, and experimentation. “I
fuel my curiosity with continuous learning, diverse
experiences, and online communities”. Tools like AI idea
platforms and collaboration software spark connections
and visualize possibilities. Introspection through
meditation and journaling fosters deeper thinking and
groundbreaking ideas.
That is why responsible AI and understanding the new
workforce of the future is so crucial. It has inspired Dr.
Kind to write about this in her upcoming book. “The
GenAIration, preparing for the true workforce of the
future”. Writing a book about "The GenAIration" is a
clarion call to embrace the changes by generative AI,
“Urging us to prepare ourselves and future generations
for a world where the boundaries between human and
artificial intelligence are increasingly blurred. Therefore,
in my opinion, I write why we must address the pressing
need to reshape our conventional approaches to
education, work culture, and parenting”. With a
balanced blend of research, foresight, and practical
advice, the narrative is enlightening and actionable.
Fostering a new way to let innovation flourish in the new
AI era and the genAIrations evolving and growing in it.
Finally, no self-starter operates in isolation. Building and
nurturing a supportive community of mentors, peers, and
collaborators provides a sounding board for ideas,
feedback, and encouragement. This network is
invaluable for brainstorming, refining concepts, and
pushing through the inevitable challenges and setbacks
of self-starting and implementing new ideas.
Dr. Kind's Advice for Aspiring Women Leaders
Ÿ Embrace your unique perspective. Diversity fuels
innovation.
Ÿ Build a strong foundation. Master technical skills
and understand AI ethics and impact.
Ÿ Seek mentors and allies. Build a supportive network
and mentor others.
Ÿ Champion diversity and inclusion. Foster an
environment for everyone to thrive.
Ÿ Be resilient. Learn from setbacks and use them to
propel you forward.
Ÿ Advocate for yourself. Share your ideas and build
visibility.
Ÿ Make a positive impact. Use AI for social good and
contribute to a better future.

18. CXO
A Glimpse of the Evolution of
AI into the Past, Present and Future
A Glimpse of the Evolution of
AI into the Past, Present and Future
s a rеsеarchеr at SCIP AG and thе Chiеf
ARеsеarch Officеr at Womеn in AI NPO, I havе
had thе privilеgе of witnеssing thе dynamic
transformation of artificial intеlligеncе (AI) ovеr thе
past fеw yеars. Thе journеy has bееn both еxhilarating
and challеnging, as AI has bеcomе an intеgral part of
our daily livеs, rеshaping industriеs, еconomiеs, and
sociеtiеs.
In thе еarly stagеs of my carееr, AI was morе of a
promisе than a rеality. Thе thеorеtical foundations wеrе
laid, but thе practical applications wеrе limitеd. Fast
forward to today, and wе find oursеlvеs in a landscapе
whеrе AI has not only maturеd but has also pеrmеatеd
various aspеcts of our livеs.
Onе of thе most notеworthy changеs is thе еxponеntial
growth in thе volumе and divеrsity of data availablе for
AI systеms to lеarn from. This influx has propеllеd
machinе lеarning algorithms into rеalms prеviously
unеxplorеd. From hеalthcarе diagnostics to
pеrsonalizеd markеting stratеgiеs, thе ability of AI to
analyzе vast datasеts has opеnеd up nеw avеnuеs for
innovation and problеm-solving.
Thе еvolution of AI hardwarе has playеd a pivotal rolе
in this journеy. Thе dеvеlopmеnt of morе powеrful and
еnеrgy-еfficiеnt procеssors has еnablеd thе еxеcution
of complеx AI modеls at unprеcеdеntеd spееds. As a
rеsеarchеr, I havе bееn thrillеd to witnеss thе
convеrgеncе of hardwarе advancеmеnts with
sophisticatеd algorithms, rеsulting in brеakthroughs
likе GPT-3 and othеr largе-scalе languagе modеls.
Howеvеr, with progrеss comеs rеsponsibility. It is
impеrativе to addrеss thе еthical considеrations
surrounding AI, as its impact on privacy, bias, and job
displacеmеnt cannot bе ignorеd. Thе incrеasеd rеliancе
on AI for dеcision-making has raisеd concеrns about
accountability and transparеncy. As an Ambassador for
Womеn in AI NPO, I am particularly attunеd to thе
importancе of divеrsity in AI dеvеlopmеnt. Ensuring
that thе tеams building thеsе systеms arе
rеprеsеntativе of divеrsе pеrspеctivеs is crucial to
mitigating bias and crеating fair and inclusivе
tеchnologiеs.
Onе of thе undеniablе bеnеfits of AI liеs in its ability to
augmеnt human capabilitiеs. In hеalthcarе, for еxamplе,
AI-drivеn diagnostics havе shown trеmеndous potеntial
in improving accuracy and еfficiеncy. AI algorithms can
analyzе mеdical imagеs, idеntify pattеrns, and assist
hеalthcarе profеssionals in making morе informеd
dеcisions. This has thе potеntial to rеvolutionizе patiеnt
carе, particularly in arеas whеrе accеss to mеdical
еxpеrtisе is limitеd.
Thе application of AI in еnvironmеntal monitoring and
sustainability еfforts is anothеr arеa that еxcitеs mе as
a rеsеarchеr. AI algorithms can analyzе largе datasеts
to idеntify pattеrns and trеnds rеlatеd to climatе
changе, dеforеstation, and pollution. This information is
invaluablе in formulating еffеctivе stratеgiеs for
еnvironmеntal consеrvation and addrеssing global
challеngеs.
In thе rеalm of еducation, AI-powеrеd tools arе
rеshaping thе lеarning еxpеriеncе. Adaptivе lеarning
platforms usе AI algorithms to tailor еducational
contеnt to individual studеnts, addrеssing thеir spеcific
nееds and lеarning stylеs. This pеrsonalizеd approach
has thе potеntial to significantly improvе еducational
outcomеs and bridgе gaps in accеss to quality
еducation.
www.ciolook.com | May 2024 |
16

19. Dеspitе thеsе transformativе bеnеfits, thе journеy of AI
is not without its challеngеs. Job displacеmеnt duе to
automation rеmains a concеrn, and it is еssеntial to
invеst in rеskilling and upskilling programs to еnsurе
that thе workforcе is еquippеd to thrivе in thе еvolving
job markеt. Additionally, thе еthical usе of AI, including
data privacy and sеcurity, must bе at thе forеfront of
tеchnological dеvеlopmеnt to build trust among usеrs.
Looking ahеad, thе futurе of AI holds both promisе and
uncеrtainty. As a rеsеarchеr and advocatе for
rеsponsiblе AI, I am committеd to contributing to thе
dеvеlopmеnt of еthical guidеlinеs and framеworks that
prioritizе thе wеll-bеing of individuals and sociеtiеs.
Thе collaboration bеtwееn industry, acadеmia, and
advocacy groups will bе instrumеntal in shaping an AI
landscapе that is inclusivе, transparеnt, and bеnеficial
for all.
Thе еvolution of AI ovеr thе past fеw yеars has bееn a
rеmarkablе journеy, markеd by tеchnological
brеakthroughs and еthical considеrations. As somеonе
dееply immеrsеd in thе fiеld, I am optimistic about thе
positivе impact AI can havе on our livеs whilе rеmaining
vigilant about addrеssing its challеngеs. By fostеring a
collaborativе and rеsponsiblе approach, wе can
navigatе thе futurе of AI with confidеncе, еnsuring that
it еnhancеs thе human еxpеriеncе rathеr than
diminishing it.
www.ciolook.com | May 2024 |
17

20. AI Revolution
n the contemporary landscape of technology, few advancements have had
Ias profound an impact as artificial intelligence (AI). With its ability to
mimic human cognitive functions, AI is not merely a technological
innovation; it represents a paradigm shift in how industries operate and
societies function. From healthcare to finance, manufacturing to
entertainment, AI is revolutionizing every sector it touches, fundamentally
reshaping the way we work, live, and interact.
The Rise of Artificial Intelligence
Artificial intelligence, once relegated to the realms of science fiction, is now
an integral part of our daily lives. Its rise can be attributed to advancements
in machine learning, big data analytics, and computational power. Machine
learning algorithms, in particular, have enabled AI systems to learn from vast
amounts of data, continually improving their performance and accuracy.
Today, AI manifests in various forms, from virtual assistants like Siri and Alexa
to sophisticated autonomous vehicles and robotic systems. Its applications
span across industries, offering solutions to complex problems and unlocking
new opportunities for innovation and efficiency.
Transforming Industries:
Healthcare: In healthcare, AI is revolutionizing patient care, diagnosis, and
treatment. AI-powered diagnostic tools can analyze medical images with
unprecedented accuracy, aiding radiologists in detecting abnormalities and
diseases at an early stage. Moreover, AI algorithms can sift through vast
patient data to identify patterns and predict potential health risks, enabling
personalized treatment plans and preventive interventions.
www.ciolook.com | May 2024 |
18
Transforming Industries and
Reshaping Society

21. www.ciolook.com | May 2024 |
19

22. Finance: The financial industry has embraced AI to
enhance decision-making processes and mitigate risks.
AI algorithms analyze market trends, identify
investment opportunities, and execute trades at
lightning speed, optimizing investment strategies and
maximizing returns. Additionally, AI-powered chatbots
and virtual assistants streamline customer service,
providing personalized recommendations and support
round-the-clock.
Manufacturing: In manufacturing, AI-driven
automation is revolutionizing production processes,
increasing efficiency, and reducing costs. Robotics
equipped with AI capabilities can perform intricate
tasks with precision and speed, leading to higher
productivity and quality standards. Furthermore, AI-
powered predictive maintenance systems can
anticipate equipment failures before they occur,
minimizing downtime and optimizing resource
utilization.
Transportation: The transportation sector is
undergoing a transformation with the advent of AI-
powered autonomous vehicles. From self-driving cars
to drones for delivery services, AI technology is
reshaping how people and goods are transported.
These innovations promise safer roads, reduced
congestion, and enhanced mobility for individuals with
limited access to traditional transportation options.
Entertainment: AI is also leaving its mark on the
entertainment industry, revolutionizing content
creation, distribution, and consumption. Streaming
platforms leverage AI algorithms to recommend
personalized content based on user preferences and
viewing habits. Moreover, AI-powered tools are used in
film production for visual effects, animation, and even
scriptwriting, pushing the boundaries of creativity and
storytelling.
Reshaping Society
Beyond its impact on specific industries, the AI
revolution is reshaping society in profound ways:
Employment Dynamics: The widespread adoption of AI
is altering the landscape of employment, with certain
jobs becoming automated while new roles emerge that
require skills in AI development, data science, and
machine learning. This shift necessitates investment in
education and training programs to equip the
workforce with the skills needed for the jobs of the
future.
Ethical Considerations: The ethical implications of AI,
including issues of privacy, bias, and accountability, are
increasingly under scrutiny. As AI systems make
decisions that affect individuals and communities,
ensuring fairness, transparency, and accountability in
their design and implementation is paramount.
Socioeconomic Equity: The benefits of AI innovation
must be distributed equitably to avoid exacerbating
socioeconomic disparities. Access to AI technologies
and opportunities for participation in the digital
economy should be ensured for all segments of society,
regardless of income level or geographical location.
Data Privacy and Security: The proliferation of AI relies
on vast amounts of data, raising concerns about data
privacy and security. Safeguarding sensitive
information and implementing robust cybersecurity
measures are imperative to prevent the misuse or
exploitation of data by malicious actors.
Conclusion
The AI revolution is not just a technological
phenomenon; it is a societal transformation with far-
reaching implications. As AI continues to evolve and
permeate every aspect of our lives, it is essential to
harness its potential for the collective good while
addressing the ethical, social, and economic challenges
it presents. By fostering collaboration between
stakeholders, investing in research and development,
and prioritizing human-centric values in AI innovation,
we can steer the AI revolution towards a future that is
both prosperous and equitable for all.
www.ciolook.com | April 2024 |
20

23. 1 Year
12 Issues
$250
6 Months
6 Issues
$130
3 Months
3 Issues
$70
1 Month
1 Issue
$25
CHOOSE OUR SUBSCRIPTION
Stay in the known.
Subscribe to CIOLOOK
Get CIOLOOK Magazine in print, and
digital on www.ciolook.com
Subscribe
Subscribe
Today
Today

24. www.ciolook.com | May 2024 |
22

25. www.ciolook.com | May 2024 |
23

26. www.ciolook.com | May 2024 |
24

27. www.ciolook.com | May 2024 |
25

28. Vanessa Eriksson
A Visionary Leader in Data Strategies
anessa Eriksson, the Founder and Senior
VAdvisor of Vanessa Eriksson AB, stands as a
distinguished Data & AI Influencer in the
Nordics, garnering recognition with various awards. As
a trailblazer and seasoned data professional, Vanessa
boasts extensive experience in crafting Data Strategies,
encompassing areas such as Data Security and
compliance and Innovation.
Having held the prestigious position of Chair on PwC's
CDO Advisory Board and contributing to Gartner's
North America & EMEA Data and CDO Advisory
Boards, Vanessa has been a prominent figure in shaping
the landscape of data practices. Actively engaged in the
data and analytics community, she has been a featured
speaker at numerous conferences and was invited as a
Guest Speaker at Gartner's CDO Panel in London.
Vanessa's exemplary contributions were acknowledged
with the honor of being named Data Management
Professional of the Year 2021 in the Nordics. Her
influence extends to being recognized in the Top 100 in
Data, Analytics, and AI in the Nordics.
The interview highlights reveal Vanessa Eriksson's
perspective on the future transformation of technology and
underscore her proficiency as a technology leader.
Brief our audience about your journey as a business
leader until your current position.
Throughout my professional journey, data has been the
driving force propelling me toward innovative solutions
and profound insights. From the early stages of my
career to the present, I have harnessed the power of
data to uncover patterns, facilitate informed decision-
making for businesses, and gain a deeper
understanding of their operations. Whether optimizing
processes, identifying market trends, or enhancing
customer experiences, data has consistently been the
linchpin enabling me to instigate positive change and
attain meaningful results.
During the formative years of data governance in the
business realm, I was honored to be invited by Gartner
to speak at their Data & Analytics Summit in London.
This collaboration allowed me to contribute to the
establishment of best practices and strategies in the
ever-evolving field of data management, particularly in
shaping the role of Chief Data Officers.
Taking on the role of Chief Data Officer at Telia Eurasia
marked a pivotal moment, demanding not only an
acceptance of the position's responsibilities but also
navigating the complex task of gaining buy-in from the
entire C-suite. My journey in this role continued at Nets
Group, a European FinTech powerhouse, where I
orchestrated transformative initiatives in Master Data
Management for Merchant Services, resulting in
substantial profits and cost efficiency.
Subsequently, as the Chief Digital Officer at Zenseact, a
visionary startup founded by Volvo Cars, I led and
developed data, cybersecurity, and IT strategies
instrumental in the company's digital transformation.
This role placed me at the forefront of innovation,
utilizing data-driven insights to revolutionize the
automotive industry and enhance transportation
safety.
In July 2023, I embarked on a new career chapter by
founding my own company. As the Founder & Senior
Advisor, my company represents the realization of a
profound vision to create positive change in the world
through the transformative power of AI and data. It
serves as a platform for sharing knowledge and insights
through keynote speaking, advisory services, and
lectures, offering strategic guidance to organizations
navigating the increasingly data-driven world.
www.ciolook.com | May 2024 |
26

29. Vanessa boasts
extensive experience
in crafting Data
Strategies,
encompassing areas
such as Data Security
and compliance and
Innovation.”
Vanessa Eriksson,
Founder and Senior Advisor
Vanessa Eriksson AB
www.ciolook.com | May 2024 |
27
“

30. How did you initially get involved in the field of
artificial intelligence, and what motivated you to
pursue a career in this field?
It was first at Nets Group, where I experienced the
impact and recognized the significance of AI (Artificial
Intelligence), ML (Machine Learning), and Advanced
Analytics within the financial industry. Working closely
with my teams, which included skilled professionals like
Data Engineers, Data Scientists and Data Analysts,
provided us with insights into how data-driven
technologies drive innovation and enhance business
strategies. Empowering the team to actively produce
Proof of Concepts (PoC's) was a key aspect of our
offensive data strategy, focusing on innovation that
added to building and maintaining a dynamic and
forward-thinking environment.
The integration of AI, ML, and Advanced Analytics led
us to enhanced fraud detection use cases, more
informed decision-making, improved risk management,
and better customer service. My time at Nets deepened
my understanding of these technologies and their
importance in the fintech industry.
Naturally there was no turning back from here! I
wanted more, and my curiosity and enthusiasm for
these technologies only grew stronger. This drove me
to explore and leverage their capabilities further, as I
became increasingly eager to innovate and make the
most of these cutting-edge tools.
Tell us something more about your company and its
mission and vision.
Eager to drive positive change in the world, I founded
my own company in July 2023, where in addition to
providing strategic guidance on all matters related to
data, maximizing the value and impact of technology, I
strongly advocate ethical decision-making practices,
effective data and AI governance, and sustainable,
green data management.
In a landscape where the influence of AI, driven by
OpenAI, Microsoft, and Nvidia, is exponentially rising,
to me, the next major frontier lies at the intersection of
Governance of AI and Sustainability, with a focus on
Green Data Management.
Harnessing the power of AI requires significant data
volumes, a factor that negatively affects our efforts at
sustainability. Therefore, adopting data-driven
strategies and digital solutions is what I advise
organizations looking to minimize the environmental
impact of their operations and find balance with
technical developments.
There is no doubt that AI has become a global presence
in nearly every company and industry, my vision aligns
with the ongoing transformation in the business
landscape. By harnessing the power of AI, you can
contribute to enhancing efficiency, innovation, and
social responsibility within organizations, ultimately
making a meaningful impact on a global scale.
Enlighten us on the impact that you have made with
your work through your expertise in the market.
My leadership and passion extend beyond my
professional endeavors. I am deeply committed to
www.ciolook.com | May 2024 |
28

31. creating a sustainable and diverse future in the fields of
technology and science. I am passionate about
encouraging Girls in Tech and in 2017, I founded 'Girls
in Tech Nordics,' a non-profit organization with a
mission to inspire and empower schoolgirls to pursue
careers in tech and science.
This initiative reflects my belief in the importance of
diversity and inclusion in these industries and my
dedication to encouraging the talents of young girls
who will shape the future of innovation and progress.
It's a cause that remains close to my heart, and I'm
determined to continue making a positive impact by
fostering the next generation of female leaders in
STEM.
Additionally, I'm equally passionate about addressing
educational inequalities, especially for underprivileged
girls. I believe that education is the cornerstone of
empowerment and progress, and I have been actively
advocating for providing educational opportunities and
support to these young girls. By extending our efforts
to make education accessible and inclusive, we are not
only transforming individual lives but also contributing
to the betterment of communities and societies.
What is your personal vision for the role of AI in
innovation and industry transformation in the coming
years?
Imagine if we could find a sweet spot where AI
complements human capabilities, making our lives
easier and more efficient. My goal is to advocate for an
AI-driven future where benefits are widespread, and
the potential risks are mitigated through thoughtful
and considerate approaches.
My personal vision involves not just harnessing the
potential of AI but doing so with a strong commitment
to ethical considerations and accessibility. To me, the
trust factor in AI extends beyond technical
transparency and inclusivity. It involves the
establishment of clear communication channels
between humans and AI systems, emphasizing the
collaborative nature of the relationship.
Educating the public about how AI functions, its
limitations, and the safeguards in place builds a
foundation of understanding that fosters trust.
Irrespective of the industry, I would like to ensure that
AI is developed and implemented with a keen
awareness of its societal impact.
Where do you envision yourself to be in the long run?
In the long run, I envision myself at the forefront of
driving impactful change in organizations through data-
driven digital transformations. My enthusiasm for the
future, combined with unlimited energy and eagerness,
fuels my commitment to leveraging advanced
technologies and establishing trustworthy AI solutions.
I see myself not only as a catalyst for technological
evolution but also as a champion for diversity and
inclusion, fostering a world where everyone has a place
to belong.
My ultimate goal is to help build a world that is both
advanced and inclusive, where everyone can
participate and benefit from innovation.
What would be your advice to AI professionals and
researchers who aspire to venture into the technology
sector?
All of us are on a journey to understand generative AI's
power, reach, and capabilities. A report published by
McKinsey suggests that Generative AI's impact on
productivity could add trillions of dollars in value to the
global economy. It is ready to transform roles and boost
performance across functions such as sales and
marketing, customer operations, and software
development. This is clear with organizations actively
engaging in proof of concepts (PoC's) centered around
Generative AI. However, the challenge lies in moving
beyond experimentation to strategically plan and
execute AI transformation initiatives.
Reflecting on insights shared by the Harvard Business
Review - HBR, it's evident that the risk with Generative
AI is not in leaders failing to explore it, but rather in
stopping at the experimentation phase. Merely
adopting AI-enhanced productivity tools, while a
praiseworthy step, doesn't necessarily provide a
continued competitive edge.
My advice to AI professionals and others, researchers
alike, is to go beyond the experimentation phase and
actively champion AI transformation.
www.ciolook.com | May 2024 |
29

32. www.ciolook.com | May 2024 |
30

33. www.ciolook.com | May 2024 |
31

34. www.ciolook.com | May 2024 |
32

35. www.ciolook.com | May 2024 |
33

36. AI and Privacy
Balancing Innovation
with Data
Protection
n today's data-driven world, artificial intelligence
I(AI) holds immense promise for innovation across
various sectors, from healthcare to finance and
transportation to entertainment. However, as AI systems
rely heavily on vast amounts of data to function
effectively, concerns about data protection and privacy
have come to the forefront. Balancing the pursuit of
innovation with the imperative of safeguarding individual
privacy poses a significant challenge, requiring careful
consideration of ethical, legal, and regulatory
frameworks.
The Promise of Artificial Intelligence
Artificial intelligence encompasses a wide range of
technologies that enable machines to simulate human-like
cognitive functions, such as learning, reasoning, and
decision-making. Machine learning algorithms, in
particular, have fueled the rapid advancement of AI by
enabling systems to learn from data and improve their
performance over time.
AI has the potential to revolutionize industries by
automating tasks, enhancing decision-making processes,
and unlocking insights from vast datasets. In healthcare,
AI-powered diagnostic tools can assist clinicians in
diagnosing diseases and designing personalized treatment
plans. In finance, AI algorithms analyze market trends and
optimize investment strategies. In transportation, AI
enables the development of autonomous vehicles that
promise safer and more efficient transportation systems.
www.ciolook.com | April 2024 |
34

37. www.ciolook.com | April 2024 |
35

38. The Privacy Challenge
While AI offers transformative benefits, its reliance on data
raises significant privacy concerns. The collection, storage,
and analysis of large datasets containing personal
information pose risks to individual privacy rights.
Concerns about data breaches, unauthorized access, and
algorithmic bias have underscored the need for robust
privacy protections in the age of AI.
Moreover, the opaque nature of AI algorithms and the
potential for unintended consequences pose challenges to
accountability and transparency. Biased algorithms may
perpetuate existing inequalities or discriminate against
certain groups, leading to ethical dilemmas and social
unrest.
Striking a Balance
Achieving a balance between innovation and data
protection requires a multi-faceted approach that
encompasses technological, regulatory, and ethical
considerations:
Privacy by Design: Incorporating privacy protections into
the design and development of AI systems is essential to
mitigate privacy risks from the outset. Adopting privacy-
preserving techniques such as data anonymization,
encryption, and differential privacy can help minimize the
exposure of personal information while still enabling
meaningful analysis.
Transparency and Accountability: Ensuring transparency in
AI systems is crucial for building trust and accountability.
Organizations should be transparent about the data they
collect, how it is used, and the decisions made by AI
algorithms. Additionally, mechanisms for auditing and
explaining AI decisions can enhance accountability and
enable individuals to understand and contest algorithmic
outcomes.
Data Minimization and Purpose Limitation: Adhering to the
principles of data minimization and purpose limitation can
help mitigate privacy risks associated with AI.
Organizations should only collect and retain data that is
necessary for the intended purpose and refrain from
repurposing data without consent. Implementing data
governance frameworks and conducting privacy impact
assessments can help ensure compliance with these
principles.
Legal and Regulatory Frameworks: Governments play a
critical role in establishing legal and regulatory frameworks
that protect privacy while fostering innovation. Data
protection laws, such as the General Data Protection
Regulation (GDPR) in Europe and the California Consumer
Privacy Act (CCPA) in the United States, impose
obligations on organizations to protect individuals' privacy
rights and provide mechanisms for enforcement and
redress.
Ethical Guidelines and Standards: Ethical guidelines and
standards can help guide the responsible development and
deployment of AI systems. Initiatives such as the IEEE
Global Initiative on Ethics of Autonomous and Intelligent
Systems and the Partnership on AI promote ethical
principles such as fairness, transparency, accountability, and
inclusivity in AI innovation.
Conclusion
Balancing innovation with data protection in the age of AI
is a complex and multifaceted challenge that requires
collaboration between stakeholders across sectors. By
integrating privacy protections into the design and
development of AI systems, fostering transparency and
accountability, and adhering to legal and ethical standards,
we can harness the transformative potential of AI while
safeguarding individual privacy rights. Ultimately,
achieving a harmonious balance between innovation and
data protection is essential to realizing the full benefits of
AI while upholding fundamental principles of privacy and
human dignity.
www.ciolook.com | April 2024 |
36