The hottest Technology Integration Substack posts right now

And their main takeaways
Category
Top Business Topics
COVID Reason β€’ 356 implied HN points β€’ 02 Oct 24
  1. The COVID-19 pandemic revealed flaws in the healthcare system, showing that some doctors may not always listen to their patients or critically evaluate their practices.
  2. A study found that while AI like GPT-4 can diagnose accurately on its own, doctors did not significantly improve their performance using it, possibly due to skepticism and integration issues.
  3. For AI to be effective in healthcare, there needs to be better collaboration between doctors and AI tools, focusing on trust and finding ways to integrate AI smoothly into their work.
beyondrevenueoperations β€’ 19 implied HN points β€’ 27 Oct 24
  1. Combining SQL and Python makes data management much easier. SQL helps you access and pull data, while Python helps analyze it and create reports.
  2. Using SQL, you can break down data silos from different systems to get a complete view of your customers and performance. This is crucial for making smart, data-driven decisions.
  3. With Python, you can automate tasks, build predictive models, and visualize data, which saves time and enhances your ability to understand trends and insights.
The Data Jargon Newsletter β€’ 79 implied HN points β€’ 17 Oct 24
  1. A good data strategy doesn't need to be full of tools or complicated terms. Keep it simple and clear so everyone understands it.
  2. You should make data easy to access based on how your team and customers currently work. Don't ask them to change their habits; instead, integrate the data into their preferred tools.
  3. Your data strategy will always need updates and improvements. Think of it as a living document that evolves to meet the needs of your business and customers.
Odds and Ends of History β€’ 871 implied HN points β€’ 04 Feb 25
  1. AI will change how schools operate, making learning more efficient. It can help reduce the workload for teachers, like grading and paperwork.
  2. AI might even take over parts of teaching, which some might find troubling. There's a fear that it could impact the personal connection between teachers and students.
  3. Everyone needs to accept that AI is coming to classrooms. This will lead to big changes in education and how kids learn.
The Data Ecosystem β€’ 239 implied HN points β€’ 30 Jun 24
  1. Companies often struggle with a data operating model that doesn't connect well with their other teams. This leads to isolation among data specialists, making it hard to work effectively.
  2. Data models, which are important for understanding and using data correctly, are often overlooked. When organizations don’t reference these models, they can drift further away from their goals.
  3. Many data quality issues come from deeper problems within the organization, like poor data governance and inconsistent processes. Fixing just the visible data quality issues won't solve the bigger problems.
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Rox

Not Boring by Packy McCormick β€’ 152 implied HN points β€’ 26 Nov 24
  1. Rox is creating a new kind of CRM that's built around AI. They want to help salespeople work better by giving them smart tools that can handle data quickly and effectively.
  2. AI won't replace all sales jobs, but it will make the best salespeople even better. The goal is to help strong sellers do their job more efficiently, not to take their roles away.
  3. Rox is focused on getting companies to connect their data to their system. By doing this, they can become a key part of how those companies operate, leading to better sales results.
Teaching computers how to talk β€’ 83 implied HN points β€’ 08 Nov 24
  1. AI is already part of classrooms, and ignoring or fighting it will not benefit students. Teachers need to adapt to these changes instead.
  2. Critical thinking will be the most important skill for students in the future, as traditional education methods won't be enough anymore.
  3. A free handbook on AI literacy for educators is available to help them understand and teach about AI effectively, making sure they are prepared for its influence.
OSS.fund Newsletter β€’ 0 implied HN points β€’ 20 Mar 25
  1. Enterprise buyers like AI solutions that fit into their current systems. They prefer options that include security and compliance, rather than just standalone AI models.
  2. Major companies like Microsoft, AWS, and Google are leading the AI market by bundling AI with their existing services. They are seen as more reliable partners compared to AI model providers.
  3. AI model providers need to focus on industry-specific solutions that help businesses improve revenue and efficiency. Simply having the best technology isn't enough for success in the enterprise market.
Musings on Markets β€’ 0 implied HN points β€’ 06 Sep 09
  1. Webcasts are available to everyone, and the creator wants to keep them that way. It's important to have easy access for all viewers.
  2. There have been some recent issues with accessing the webcasts, but it’s due to tech upgrades, not a choice to limit access.
  3. Access to the webcasts should be back to normal soon, so there's no need to worry about missing out.
Day Zero: Always Learning β€’ 0 implied HN points β€’ 08 Nov 24
  1. AI infrastructure is mainly dominated by big companies, so there's room for growth in areas like real-time systems and multimodal models. If you're looking to innovate, think outside the box and explore MLOps.
  2. To create useful AI solutions, focus on new workflows that disrupt traditional methods. Businesses need tools that drastically improve efficiency, especially in areas like risk assessment and new data modalities.
  3. Vertical AI, especially when combined with services, can be very profitable. Industries like restaurants can benefit from AI that enhances operations and customer experiences, leading to significant cost savings.
Femstreet β€’ 0 implied HN points β€’ 24 Feb 24
  1. ERPs such as Netsuite are highly valued but struggle to meet evolving company needs, leading to gaps in automation and AI functionality.
  2. Mid-market companies face a lack of software tools seen at the enterprise level for accounting and cash flow management, showing a market gap for more sophisticated solutions.
  3. Companies building next-gen finance platforms with a focus on vertical challenges, orchestration layers, or fully-fledged ERPs have the potential to offer differentiated products and capture larger customer segments.