Sarah Tisdal is an accomplished professional who brings a unique combination of skills and experiences to the Mindhive team. With a Bachelor of Arts in Sociology from Harvard University and an MPhil in Education (Globalisation and International Development) from Cambridge University, Sarah combines her skills in data analytics (using Power BI, Excel, Alteryx, and Tableau) with project management to help clients in public service, education, law firms, and global pharmaceutical companies accelerate their business performance.

The YeahNah app is a gamified binary response survey system functioning both as an independent mobile phone and web app in addition to acting as part of a larger collection of Mindhive data collection and insight generation tools and services.

A core component of the YeahNah app is the complementation of novel smart technologies with the capability to generate and interpret data both on and off the YeahNah app, deriving new questions for users from outside sources, then collecting the resulting answers and generating clear insights, creating an AI-driven experience for both individual and enterprise customers.

The YeahNah app applies related Ai technologies to the clear and automatic collection, interpretation and presentation of the resulting user answers into insightful findings on par with that of human analyses, a convenience unseen in competitors.

The Wax Lyrical magazine has been designed as a monthly series of papers that are being delivered globally to our Premium member community. We believe in rewarding our Premium community with access to the future. WAX LYRICAL is your monthly brief offering you analysis and case studies of current trending skills, challenges, themes and trends on the future of collaboration and collective intelligence. Members also have exclusive opportunities to write in WAX LYRICAL themselves.

Readers learn to use the crowd as your open innovation partner and develop your ability and tools to lead, innovate and harness critical expertise to lead in today’s digital age with a focus on:

Shared and collective intelligence technologies of insight and expertise engaging innovation with crowds collaborative problem-solving; and strategy co-design and execution

Nelis is a recovering data scientist that has spent the better part of the last decade solving problems with data. For the last few years, the focus has been utilising natural language processing (NLP) and the building, deploying, and maintaining of machine learning models (MLOps) to identify opportunities and optimise processes in the financial services, and more recently, tech sectors.

M.Sc. in BMI; B.Sc. (Hons) BMI - Data mining/Business analytics; B.Com - Risk management - NWU, South Africa

Linktree, Youi, Outsurance

Mindhive’s web application has been migrated to Amazon Web Services and Cloudflare. Mindhive refreshed this Infrastructure to improve visibility, scalability, and ISO27001 compliance. Post-seed B investment provided for Infrastructure development that is:

Reproducible - everything in code • Simple and standardised - to improve visibility and reduce documentation and handover effort • Secure - to meet or exceed ISO 27001 • Able to incorporate AWS “smarts” (Machine Learning etc) as required • Exceedingly well documented.

As Mindhive’s R&D project continues, repeated research and investigation into newly published professional findings, academic reports, and other reputable knowledge sources were conducted. Scientific sources evaluated by Mindhive include utilising neural network text similarity recognition (Ghasemi et al., 2021) to improve recommender systems and an analysis on the 2 primary forms of text summarisation systems (Aggarwal, 2022) in the context of machine-learning-based text summarisation as a whole.

Mindhive’s investigation and review of available research identified that there is no other digital crowdsourcing network capable of performing the complete list of features and functionalities to be built into Mindhive 3.0. For example, no competing solution has shown the capability to apply blockchain and tokenization technology to a methodology capable of creating a novel form of IP for insight-generating users.

Mindhive has secured the interest of a global Lead Enterprise appointment. They are a Senior Sales and Business Development Executive with global experience, having sold to and managed accounts across the Asia Pacific, Japan (‘APJ’) and North American regions. Their last three roles required them to establish a practice, build a brand and develop a pipeline through direct and channel engagements within the region.

Identification, lead generation and the capitalisation of market opportunities to increase revenue, grow market share and maximize profitability are key skills. Their client network is extensive, with a mixture of middle/senior management as well as C-Suite. Established strategic alliances and personally managed these relationships to ensure scalable growth for their business. They’re skilled in territory development, strategic planning, risk analysis, business process optimisation, project management and contract negotiation. We want them on our team.

We have secured a partnership with a legal firm to assist Mindhive with developing its legal maturity. You might like to think of this as a “start-up shopping list” – some items (e.g. SaaS terms and privacy documentation) will be more time-sensitive than others, and prioritising the key documents first will also help to space out costs.

Fore example, preparing the first draft of a template SaaS subscription agreement, pursuant to which Mindhive will provide a customer with a licence to, implementation of, and support for, use of the Mindhive platform within the customer’s business. We’ll build documentation regarding back-to-back liabilities in respect of AWS; ownership and licensing user-generated content; data protection and security; General Data Protection Regulation (GDPR) Standard Contractual Clauses (SCCs); security; personal information privacy (PIP); and alignment with Mindhive Terms and Conditions that apply to end users.

At its core, the Mindhive experience is bringing passionate users towards new challenges and problems whilst consistently offering users the opportunity and the power to provide meaningful insights with the knowledge that their thoughts have the potential to be met with purposeful recognition and meaningful action, as opposed to a standard social media platform where thoughts and ideas are washed out by the noise of countless trivialities and make any attempt at sharing or discovering new ideas feel futile.

In order to meet the ideals and ambitions of this core Mindhive experience, Mindhive must maintain and improve on these essential features: Wildcard Algorithm; Rewards and Recognition; and Discussion (Automation)

Mindhives’ core features are not so simply because they make Mindhive work, but because they make Mindhive unique.