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Nairobi 2010 Conference Reoprt  Climate Change and Natural Resource Use in Eastern Africa: Impacts, Adaptation and Mitigation Report of the 3rd Scientific Conference of the Ecological Society for Eastern Africa (ESEA) and co-hosted with the Pan African Climate Justice Alliance (PACJA) at Multimedia University College, Nairobi, 19 - 21 May 2010 By Nicholas Oguge, Caroline Lumosi, Teddy Odindo, Joseph Ngondi and Philista Malaki October 4, 2010 Summary While the Earth's climate has changed throughout history, the current warming trend has been of particular concern because most of it is human-induced and proceeding at a rate that is unprecedented.  One of the greatest concerns of this global warming is climate variability and change.  The risks associated with climate change add to development challenges such as food and water insecurity. Although climate change is only one of the many drivers negatively affecting biodiversity and ecosystem services, it certainly exacerbates the other factors such as land degradation and unsustainable natural resource use. There is general concern on the accelerating deterioration of the human environment and natural resources. This would widen poverty levels confronting eastern African countries and threaten gains made towards achieving the Millennium Development Goals. Thus, the Ecological Society for Eastern African organised its 3rd annual scientific conference with a theme addressing this global challenge.  The idea was to bring together researchers, policy makers and the general public together to discuss the climate change phenomena, its impacts, mitigation strategies and adaptation measures with regard to natural resource use in Eastern Africa. In order to address above issues and to reach out to a wider audience, we designed the conference strategically on three tiers:   1. Plenary talks: to provide policy information and direction, science on climate change, ecological and socio-economic effects, how to commun

Most business Entrepreneurs and Data Scientists can disclose how to triumph with (AI) and ML, yet rarely anyone can share to fail with such technologies. While the innovation is solid and publicised   there is a lot of ways to fall flat with AI. Let's talk about nine innovative approaches to censure any AI startup to bankruptcy. #1 Cut R&D expenses AI requires heavy expenditure in cutting-edge research, experimentation, advanced computing, and computing infrastructure. Any AI startup willing to create helpful AI innovations needs to spend a lot of money on innovative work (R&D). To scale down expenses in this area, cutting R&D expenses will rapidly make way to failure. #2 Technology Bubble operation Technology is confined to the social condition in which it is created. Technology never sustains itself but other various important aspects. AI has failed a few times since the commencement of computer science not for technical reasons but as a result of an absence of social need and interest at that point. Experience has taught that AI advancements can't be made in isolation from the social conditions that make them important (like medical care, Health analysis, and money). It is quite crucial to first engineer people to persuade them. Before designing the actual technology, visionaries and business visionaries convince them to suspend their questions and embrace the novelty and utility of disruptive ideas. Working in a bubble and overlooking the current necessities of society is a certain way to failure. #3 Prioritize Technology over business technique Only technology isn't enough to make progress, regardless of how strong it is. In the end, Tech startups also need a great strategy to succeed in being a business entity. Any startup that comes up short on a technique for recognizing objective business sectors, generating sales, and viably allotting and spending resources, yet gives need only to their technical resources, is destined to fail rapidly.