Maintaining a Software-Obsessed Tech Industry is Self-Sabotage –

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Headings…
Maintaining a Software-Obsessed Tech Industry is Self-Sabotage
Hardware at the Forefront
Being able to process mass amounts of data at the point of collection 
Adjusting Expectations Around Hardware
It’s time for the investor community to admit that hardware matters
Lu Zhang

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Can we see that maintaining a software-obsessed tech industry is self-sabotage?
Once again, we see a bias that plagues the tech community: software overshadowing hardware.
But, continuing with the software-obsessed tech industry is self-sabotage.
With the maturation of artificial intelligence, however, the software-first focus must shift increasingly toward hardware.
Even more nuanced, we should work toward hardware-software integration.
Apple is already well-known for its game-changing hardware innovations.
Other industry leaders would do well to follow suit with oving the software-obsessed tech industry.
Fitness trackers capture in-depth patient data, and hardware is the portal through which data flows.
True innovation lies in the integration of hardware and software.
Hardware is the data entrance and collector, while the AI software layer handles analysis and delivers insights.
If data-driven technologies are going to drive the future of tech, we must adopt a hardware-software integration approach.
Hardware at the Forefront
Reorienting toward hardware won’t be easy for a tech ecosystem that remains so focused on software.
The existing giants must adopt drastically new business models, and startups must work to master hardware.
Whoever successfully integrates hardware and software will win the next era of tech.
Being able to process mass amounts of data at the point of collection (the hardware), rather than sending it first to the cloud, is critical for giving “smart” technology the intelligence it needs.
As more time and money go toward hardware, our assumptions about tech will change.
More importantly, collecting data through hardware rather than platforms yields richer data in more significant quantities.
Moving forward, consumers will likely pay for more services (and their attendant hardware) but expect more privacy in exchange.
Tomorrow’s computer scientists must understand the engineering behind hardware just as well as they understand the software

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