Dareen Salama

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On November 15, 2018, Dareen Salama commented on Grupo Aval: Utilizing open innovation to build a new business model :

Thank you, that’s a very well written article in an area that impacts all of us. FinTech is extremely competitive and companies both start and fail in that space everyday. I think the approach of crowdsourcing ideas is great to transform your company and culture into the digital age.

I agree with your suggestion on mixed teams, if you have not already, I would encourage you to check Citi Venture D10X http://www.citi.com/ventures/d10x.html

It is similar in concept where Citi established a structure to stay in touch with the FinTech entrepreneurs and bringing them or investing in their work on a regular basis. This has huge potential for both the millennial generation that is interested in FinTech start-ups, it gives them the platform to start, paired with the expertise of larger banks that may provide guidance and expertise in a heavily regulated sector.

Great article in an industry that I do not have much experience in. Thank you for sharing.

Internal and small innovative company competitions such as “Go Trendsetter” and internal “Next Big Idea” sound excellent for attracting talent and getting exposure to new ideas. Other ideas for Pepsi is to tap into colleges and universities. The hackathon culture is growing, where many students and even employees get together for a weekend to quickly build and prototype different products. I think Pepsi can leverage that culture and start hosting competitions, as well as possibly incubating some start ups in their offices as a form of ‘shared innovation.’

On November 15, 2018, Dareen Salama commented on Additive manufacturing of hearing aid requiring anatomical precision :

Thank you for this lovely article! Such an insightful use of additive manufacturing and 3D printing for medical purposes and to provide added value, rather than just making a process more efficient, this actually makes a product possible. I think additive manufacturing have reached the point of producing desired surface attributes, texture, and strength requirement. An example to look at would be dentistry that are utilizing additive manufacturing for denture fabrication and maxillofacial prothesis.

On the diagnostic toolkits, in dentistry they are using biometric scanning, but the ear is a much more complex organ and it would be interesting to see how technology advances in that space. At the moment I agree with you that patients may be less likely to value that service.

On November 15, 2018, Dareen Salama commented on Dr. Roboto Will See You Now – Improving Radiology Diagnostics :

Great topic! Analysis of imagery is growing in each field. It seems like StatDx is a learning tool and there is a lot of room for growth. Potential to scale into any aspect of healthcare where there are symptoms, clinical pictures (not just radiology), and other forms of health care data. Dentistry is one of the examples.

On November 15, 2018, Dareen Salama commented on Vodafone: leveraging Machine Learning in an (almost) 5G world :

Great article, thank you for sharing your perspective!

Totally agree, the lines are not only blurred between technology and telecommunications, but between big technology firms and virtually any industry. Companies in telecom still have an added value but must continue to innovate and adapt to the changing ecosystem.

Your article instigated the thought of, why is Vodafone not in the business of providing data storage and data centers? While technology companies are under scrutiny for data security, it seems like a viable opportunity for new players in that space.

This is an amazing article. In subtle ways, you have addressed challenges of Autodesk as a technology provider in addition to challenges of AM for a technology vendor. Autodesk has been through a similar experience with Building Information Modeling in AEC (architecture, engineering, construction) software by defining the narrative and providing both consulting and software to their clients. It did give them control over the narrative over how software is used but resulted in negative consequence of dependence on software for what is fundamentally a cultural change, and in some cases poor implementation of the software because industry experts were not directly involved in defining the use cases.

I think they still have a chance in additive manufacturing by:
– Growing their AM practice
– Partnering with startups in this space
– Targeting the intersection between construction and manufacturing where companies might benefit from being on interoperable platforms

On November 15, 2018, Dareen Salama commented on MADE BY GOOGLE, POWERED BY MACHINE LEARNING :

Great article Farrah! You raise excellent points with Google’s entry and investment in the hardware market. With regards to Google’s investment and shift to AI and ML, I find it only natural that given Google’s positioning with access to a vast amount of data on a global scale. Google is well positioned to provide insights much faster than probably any other company.

The interesting question you raise is that of hardware, and with the rise of IoT and reduce costs of sensors, hardware is just another method of reaching the user. Google could have elected to collaborate with another large hardware company, but with the intense competition in other areas, it would just make Google’s vision for AI harder to achieve. Other companies in the tech space are facing political and social challenges and need to maintain control of how they manage users (really, the world’s) data. For these reasons, I believe Google is on the right track in investing in hardware to maintain a certain level of control over shaping this mega-trend’s future, while also maintaining close collaboration and investments in the wider technology community.