“Enlabeler – Bridge between data and AI models.”
Case background / Context
Article on Enlabeler: https://thenexttechcoffee.pub/business-innovators/#/5e4ddf29e7d979b1021ad378 (accessed Dec 21).
“South African AI supply chain innovation through data labelling services”
Section: My First-Person Accounts
Mignon Reynecke
How I found out I would lead Enlabeler:
My name came up in an online job recruitment discussion, so I had
“Enlabeler: Bridging the gap between AI innovation and ethical considerations in data labeling”
Article topic: Encountering Entrepreneurial Dreams
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I started my first serious entrepreneurship project in January 2013, called InnoAffects. It would eventually grow into Innoves, with a mission statement “Enhancing lives and empowering societies through education innovation.”
In July 2014, the then InnoAffects team, including myself, participated in what would turn out to be one of South Africa’s most successful innovation incubators. This brought some interesting challenges along with exciting growth opportunities that led me to consider new entrepreneurship projects. I remember receiving an offer from Encounter as their newest Director, with the responsibility of managing a team in Johannesburg focused on providing quality education services and promoting socio-economic impact across communities. It seemed like a golden opportunity to be exposed
Enlabeler’s impact in AI supply chain.
Case background and context (Enlabeler & Data labelling in SA):
“Enlabeler: South Africa’s AI data labeling company”
As you work through the text, take the time to do a read-through looking just for spelling, punctuation and grammatrical errors and provide your comments in between sentences or on individual word choices
Enlabeler’s role in AI supply chain: A South African startup in the data labelling industry.
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Enlabeler’s role in the AI supply chain.
Lead-in to section: “A couple of years ago I attended a data science conference and met up with a South African team that had won first prize for their work on natural language processing. The judges said that their solution could disrupt the legal industry because AI assistants could quickly parse the complex language of judicial arguments.” Section background and analysis
Enlabeler’s role in AI supply chain for improved data accuracy.
Lead In:”After chatting further, the team at Enlabeler explained their unique role and challenges in data labelling, the critical precondition necessary for the development of high accuracy artificial intelligence (AI). As the team is primarily focusing on small and local markets, I think this case requires a specific look at local law practices. In this article, I look into the South African labelling imp source company. Herein follows an in-depth case study analysis looking into the various stakeholders involved in the company, the legal industry practices that can positively contribute to the success or obstacles to the company. Additionally, this section will focus on quirks, challenges or legal obstacles specific to South Africa in the context of labelling data. Furthermore
Enlabeler’s contribution to the AI supply chain in South Africa.
Enlargement”Enlargement refers to the expansion plan to develop into a major player.