so today I was talking with my friend on a call and we talked about very diverse topics like how's it going, ozempic, data science/ai, e-ink displays, authentication apps and TOTP, etc. and these posts were on my feed within an hour : https://t.co/3s8vYczP3z
https://t.co/uscFPK73Fa
https://t.co/y5oLtM1lyC
this is why the privacy in the digital world is needed more than ever.
Writing software, especially prototypes, is becoming cheaper. This will lead to increased demand for people who can decide what to build. AI Product Management has a bright future!
Software is often written by teams that comprise Product Managers (PMs), who decide what to build (such as what features to implement for what users) and Software Developers, who write the code to build the product. Economics shows that when two goods are complements β such as cars (with internal-combustion engines) and gasoline β falling prices in one leads to higher demand for the other. For example, as cars became cheaper, more people bought them, which led to increased demand for gas. Something similar will happen in software. Given a clear specification for what to build, AI is making the building itself much faster and cheaper. This will significantly increase demand for people who can come up with clear specs for valuable things to build.
This is why Iβm excited about the future of Product Management, the discipline of developing and managing software products. Iβm especially excited about the future of AI Product Management, the discipline of developing and managing AI software products.
Many companies have an Engineer:PM ratio of, say, 6:1. (The ratio varies widely by company and industry, and anywhere from 4:1 to 10:1 is typical.) As coding becomes more efficient, teams will need more product management work (as well as design work) as a fraction of the total workforce. Perhaps engineers will step in to do some of this work, but if it remains the purview of specialized Product Managers, then the demand for these roles will grow.
This change in the composition of software development teams is not yet moving forward at full speed. One major force slowing this shift, particularly in AI Product Management, is that Software Engineers, being technical, are understanding and embracing AI much faster than Product Managers. Even today, most companies have difficulty finding people who know how to develop products and also understand AI, and I expect this shortage to grow.
Further, AI Product Management requires a different set of skills than traditional software Product Management. It requires:
- Technical proficiency in AI. PMs need to understand what products might be technically feasible to build. They also need to understand the lifecycle of AI projects, such as data collection, building, then monitoring, and maintenance of AI models.
- Iterative development. Because AI development is much more iterative than traditional software and requires more course corrections along the way, PMs need be able to manage such a process.
- Data proficiency. AI products often learn from data, and they can be designed to generate richer forms of data than traditional software.
- Skill in managing ambiguity. Because AIβs performance is hard to predict in advance, PMs need to be comfortable with this and have tactics to manage it.
- Ongoing learning. AI technology is advancing rapidly. PMs, like everyone else who aims to make best use of the technology, need to keep up with the latest technology advances, product ideas, and how they fit into usersβ lives.
Finally, AI Product Managers will need to know how to ensure that AI is implemented responsibly (for example, when we need to implement guardrails to prevent bad outcomes), and also be skilled at gathering feedback fast to keep projects moving. Increasingly, I also expect strong product managers to be able to build prototypes for themselves.
The demand for good AI Product Managers will be huge. In addition to growing AI Product Management as a discipline, perhaps some engineers will also end up doing more product management work.
The variety of valuable things we can build is nearly unlimited. What a great time to build!
[Original text: https://t.co/OIeAQXpriK ]
π!!Hello Everyone, Exciting News! Introducing CliNe - Your Solution to Navigate the World of News π°
In a world flooded with headlines vying for our attention, it's become increasingly challenging to discern fact from fiction.
Introducing Pseudo AI, a game-changing breakthrough in the world of coding! π Developed by me and @abhip05 , Pseudo AI revolutionizes code comprehension like never before. π€π‘ Experience the future of programming with our innovative system. π₯
Just shared the UI and design for my latest CliNe project - a #clickbait detector powered by #LSTM and #GloVe. Simple, sleek, and effective - take a look! #UI#UX#machinelearning#datascience
Thanks to my all team members !!
@abhip05
https://t.co/rbcjt1PtEG