Artificial Intelligence (AI) is the mantra of the current era. The phrase is intoned by technologists, academicians, journalists, and venture capitalists alike. As with many phrases that cross over from technical academic fields into general circulation, there is significant misunderstanding accompanying use of the phrase. However, this is not the classical case of the public not understanding the scientists--here the scientists are often as befuddled as the public. The idea that our era is somehow seeing the emergence of an intelligence in silicon that rivals our own entertains all of us, enthralling us and frightening us in equal measure. There is a different narrative that one can tell about the current era.

In Fusion 360, you can utilize a singular environment for maximum flexibility, allowing you to leverage AI for simple solutions to complex problems. Integrated tools don't diminish human value. Instead, they build upon our distinctly human capabilities, ensuring better, faster designs and designers get more time to dedicate to other things. Fusion 360 is the perfect compliment to artificial intelligence and machine learning.

Raycatch has introduced'DeepSolar 2.0,' a fully automated, AI-based diagnostic software program for cost-optimized maintenance and monitoring of photovoltaic power plants. Raycatch, which is backed by BayWa r.e., developed the next-generation of DeepSolar, its AI-based Software as a Service (SaaS) solution. The software supports solar plant owners by providing them with comprehensive ROI information and data-driven operational insights. In addition, the diagnostic system can identify the sources behind technical issues, outline issue resolutions, evaluate costs and make prioritized recommendations based on plant owners' respective needs. DeepSolar is a diagnostic software program for cost-optimized maintenance of PV power plants.

Meet Foodvisor, a startup that has built a mobile app that helps you log everything you eat in order to lose weight, follow a diet or get healthier. You can add data by capturing a photo of your plate before you eat. "We've spent a little over two years doing research and development before we launched the app in 2018 in France," co-founder and CMO Aurore Tran told me. Foodvisor has raised $1.5 million so far (€1.4 million). The company is using deep learning to enable image recognition and detect what you're about to eat.

We dedicate this countdown post to all the early-stage startup founders who hunger for an opportunity to break new ground. This is the final week you can apply to be a TC Top Pick and exhibit your startup -- for free -- in Startup Alley at Disrupt Berlin 2019 on 11-12 December. The application window remains open until this Friday, 18 October at 12 p.m. (PT). Don't miss your shot at media attention, investor interest and plenty of exposure to potential customers and collaborators -- apply to be a TC Top Pick right now. If you haven't heard about our Top Picks program, here's a brief rundown.

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"There's no one-size-fits-all answer to finding the right supply chain for a company, because it's so dependent on strategic business choices & focus" - Kevin Overdulve, Director in Logistics & Distribution, Deloitte Belgium

How good is artificial intelligence at managing money? To judge by the recent performance of some AI-driven strategies, it doesn't look like the robots are going to take over from the humans any time soon. In August 2018, a quantitative team at Aberdeen Standard Investments started a $US10 million Artificial Intelligence Global Equity Fund, betting that an algorithm can be more effective at figuring out the complex world of factor investing than a human portfolio manager. A year later, the fund had underperformed the broader sharemarket's powerful rally, and its assets had grown only 8 per cent. Institutional investors say they'll hold off committing money until they see a longer track record.

I started this article with how business is expected to deliver more with less.

Siliconrepublic.com spoke to Veritone's Aaron Edell to learn how data scientists can harness AI and machine learning. Data science, artificial intelligence (AI) and machine learning (ML) are all massive areas undergoing further growth and attracting increasing amounts of attention. But what about the jobs of the future that will combine all three? Edell's prevailing advice for data scientists working with AI and machine learning technologies is to always maintain sight of the problem they're tackling. With machine learning, business process scalability has made leaps and bounds, but it's important not to get side-tracked by that.