Almost every business company is in the midst of some sort of digital transformation. It is either digitalizing their current processes to improve productivity or develop new digital value propositions to drive revenue streams. But how? Where to start? What are the typical pitfalls to avoid?
About meI was born and raised in a small but ambitious and fast growing country Lithuania. However, due to my eagerness to explore, challenge myself and learn new things, I always felt that the place was too small for me.
So after my international studying experience in South Korea and The Netherlands, I started to work at Philips in Amsterdam. I worked for a global transformation programme where I got my strong passion for process excellence.
Later I moved to shipping giant Maersk, where I was quickly promoted to form a new transformation department and take on a leadership role. This whole transition to a new industry and early leadership experience was tremendous for my personal development. But in the midst of my promising career, I decided to do something crazy! I quit my job to pursue volunteering with women in rural Uganda.
My career break year allowed me to take a step back and think about my purpose. This is when I decided to come back to the business world which was always so exciting for me, especially as I grew up with entrepreneurial parents. Currently I am working at Schuberg Philis, which is a Dutch technology company known for its self-steering customer teams and continuous highest customer satisfaction ranking (Giarte).
On top of my daily work I am still engaged with Integrated Villages NGO in Uganda and write my personal blog on issues which are typically faced by young professionals.
Other people often describe me as someone who is not afraid to get her “hands dirty” and deliver results.
My personal blog: https://nainyte.com
Artificial Intelligence (AI) is the next BIG thing for every business. Although it offers so many new opportunities, it doesn’t come without its challenges.
AI and ethics became a huge concern after noticing ‘unfair’ results generated by AI. My colleague Farah who is an expert in technology law recently wrote a great article on how to eliminate bias in AI.
It consists of four elements:
🥸 Human oversight
Check out this article and let me know your challenges or questions you have with regards to implementing AI in your business in a fair and valuable way.
Transformation is the new normal! For many this urge to transform comes from a fear of being disrupted by what Salim Ismail calls 'exponential organizations.' Think of Uber, Airbnb, Waze, Netflix, Tesla, Alibaba...
In other words, those are the organizations whose impact is disproportionally large compared to its peers because of the use of new organizational techniques that leverage accelerating technologies.
These are my few takeaways which could inspire legacy companies:
- Make sure you have a MTP (massive transformative purpose) which is not a traditional mission statement, but rather a higher aspirational purpose of your organization.
- While data is indeed the new gold, make sure your organization focus is on extracting insights which solve your business problems.
- Build an organizational culture where people have autonomy to propose new ideas and experiment without fear of failure.
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How to become productive and change your habits almost immediately
Dovaine JuciuteCreative thinker | Entrepreneur
Fund-raising for start-ups
I help young companies develop a value proposition that will resonate with investors and can make their fund-raising search more likely to succeed. With a deep dive into a company's DNA and then building out a pitch presentation, companies gain the confidence needed to make an impact on investors.
Paul KallmesStart-up guy
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Agne JanusevskaProduct Manager || AI & Future of Human-AI Interaction Enthusiast
Where and How to use "Recommendation systems"?
Consider a B2B or B2C business, the data we have will give enough insights which show us what we should do next! Having data as an asset,demand forecasting,inventory management,inventory optimization,etc can be implemented using advanced AI tech. How and where do we do this! is an interesting point.
Anupama SjArtificial Intelligence Engineer, Data Scientist