The hottest Digital Transformation Substack posts right now

And their main takeaways
Category
Top Technology Topics
Big Technology 5754 implied HN points 23 Jan 25
  1. Demis Hassabis thinks we're still a few years away from achieving AGI, or human-level AI. He mentions that while there's been progress, we still need to develop more capabilities like reasoning and creativity.
  2. Current AI models are strong in some areas but still have weaknesses and can't consistently perform all tasks well. Hassabis believes an AGI should be able to reason and come up with new ideas, not just solve existing problems.
  3. He warns that if someone claims they've reached AGI by 2025, it might just be a marketing tactic. True AGI requires much more development and consistency than what we currently have.
Don't Worry About the Vase 1881 implied HN points 09 Jan 25
  1. AI can offer useful tasks, but many people still don't see its value or know how to use it effectively. It's important to change that mindset.
  2. Companies are realizing that fixed subscription prices for AI services might not be sustainable because usage varies greatly among users.
  3. Many folks are worried about AI despite not fully understanding it. It's crucial to communicate AI's potential benefits and reduce fears around job loss and other concerns.
Simon Owens's Media Newsletter 474 implied HN points 24 Jan 25
  1. Substack is aiming to attract TikTok creators by offering a $20 million fund to help them transition to the platform without losing money. This shows their desire to expand beyond just newsletters into multimedia content.
  2. Progressive media outlets might benefit from creating more non-political content to engage a broader audience. Mixing politics with entertainment could reach viewers who wouldn't typically seek out political content.
  3. The New Yorker has successfully transitioned to digital by becoming profitable and expanding its staff. This success story highlights how legacy media can adapt and thrive in the changing landscape.
One Useful Thing 1608 implied HN points 10 Jan 25
  1. AI researchers are predicting that very smart AI systems will soon be available, which they call Artificial General Intelligence (AGI). This could change society a lot, but many think we should be cautious about these claims.
  2. Recent AI models have shown they can solve very tough problems better than humans. For example, one new AI model performed surprisingly well on difficult tests that challenge knowledge and problem-solving skills.
  3. As AI technology improves, we need to start talking about how to use it responsibly. It's important for everyone—from workers to leaders—to think about what a world with powerful AIs will look like and how to adapt to it.
Resilient Cyber 119 implied HN points 24 Sep 24
  1. Some software vendors are creating security problems by delivering buggy products. Customers should demand better security from their suppliers during purchase.
  2. As companies rush to adopt AI, many are overlooking crucial security measures, which poses a big risk for future incidents.
  3. Supporting open source software maintainers is vital because many of them are unpaid. Companies should invest in the projects they rely on to ensure their continued health and security.
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High ROI Data Science 158 implied HN points 13 Oct 24
  1. AI is changing how we think about technology, moving beyond just improving what we have to creating entirely new ways to interact with it. This means businesses need to look for big, new opportunities, not just small tweaks.
  2. Having a strong data strategy is key for successful AI projects. This involves treating data as an important asset, gathering context, and making sure it's easy to access for training AI models.
  3. It's important to develop real, functional AI products that deliver clear value. Companies should focus on creating products that solve specific customer problems rather than just showing off cool technology.
Workforce Futurist by Andy Spence 634 implied HN points 15 Jan 25
  1. 170 million new jobs are expected to be created by 2030, but 92 million jobs may be lost. This shows a big change in the job market.
  2. Companies are likely to focus more on skill-based hiring rather than just job experience. This means skills will matter more than degrees.
  3. The way work is done is changing, especially with machines taking on more tasks. Companies need to adapt or risk falling behind.
Kneeling Bus 322 implied HN points 20 Dec 24
  1. Hanging out in public spaces is becoming more of a luxury, making it harder for people to find affordable options to socialize. Places like bars and coffee shops are either getting more expensive or are overcrowded.
  2. The pandemic changed how we use physical spaces, shifting more focus to online services, which has made in-person experiences feel less necessary. This change creates a cycle where fewer people engage in real-life activities, affecting the quality of those interactions.
  3. Many brick-and-mortar stores are now designed more for delivery and logistics than for customer enjoyment. This makes shopping and dining out less appealing, pushing people to stay home instead.
Generating Conversation 303 implied HN points 21 Nov 24
  1. AI strategies are often unhelpful because things change so quickly. It's better to focus on just using more AI instead of getting stuck in endless planning.
  2. Experts in each department should choose the AI tools they need, rather than leaving it up to a central committee. This way, the people closest to the work can make the best decisions.
  3. Not every AI tool will work perfectly right away, and that's okay. Being open to trying different tools will help teams learn and improve their choices over time.
Don't Worry About the Vase 1657 implied HN points 22 Feb 24
  1. Gemini 1.5 introduces a breakthrough in long-context understanding by processing up to 1 million tokens, which means improved performance and longer context windows for AI models.
  2. The use of mixture-of-experts architecture in Gemini 1.5, alongside Transformer models, contributes to its overall enhanced performance, potentially giving Google an edge over competitors like GPT-4.
  3. Gemini 1.5 offers opportunities for new and improved applications, such as translation of low-resource languages like Kalamang, providing high-quality translations and enabling various innovative use cases.
The Data Ecosystem 139 implied HN points 23 Jun 24
  1. AI needs a proper plan and strategy to work well. Companies shouldn't think they can just jump in without understanding how it will fit into their overall goals and data.
  2. Many AI projects fail because organizations overlook the importance of data quality and proper infrastructure. Good data practices are essential for AI to be effective.
  3. It's important to get everyone in the company on board with AI. This means training employees and creating a culture that embraces the technology, rather than fearing it.
Thái | Hacker | Kỹ sư tin tặc 818 implied HN points 22 Dec 23
  1. The Vietnamese Government is focusing on enhancing cybersecurity in the banking and cashless payment sectors to prevent system intrusions and theft from bank accounts.
  2. Foreign hackers have previously stolen significant amounts of money from domestic banks in Vietnam, prompting authorities to take action.
  3. Efforts by organizations like Calif, led by the author, aim to reduce vulnerabilities in critical national systems and contribute to enhancing security measures in Vietnam.
Justin E. H. Smith's Hinternet 466 implied HN points 12 Mar 24
  1. Data produced in just one minute in 2023 was 169,371 times more than produced in the entire 18th century.
  2. The analogy of
  3. pissing into the ocean
  4. implies the massive amount of data being generated daily being like a drop in the vast ocean.
  5. The role of a writer has evolved significantly from the 18th century, with the digital era signaling the end of traditional writing as we knew it.
Resilient Cyber 279 implied HN points 17 Jan 24
  1. Building a strong network is important for career resilience. It's not just about who you know, but who knows you and what you bring to the table.
  2. Some core values and work ethics should remain unchanged throughout your career. These qualities, like determination and discipline, help you stay successful as roles and technologies change.
  3. You should treat your personal and professional growth like a product that needs constant improvement. Embrace change and ask for feedback to keep evolving.
High ROI Data Science 317 implied HN points 15 Jan 24
  1. CEOs face challenges with limited skills and expertise in implementing AI initiatives.
  2. Businesses struggle with data complexity and ethical concerns when it comes to utilizing AI.
  3. Companies need to align AI opportunities with business goals, estimate costs upfront, and prioritize continuous reskilling for successful AI implementation.
New World Same Humans 21 implied HN points 17 Dec 24
  1. A new community called Chief AI Officer has been launched for people in creative and knowledge work to talk about AI. It aims to help professionals understand and adapt to changes brought by AI.
  2. The first conversation features David Rowlands from KPMG, who shares how his company is embracing AI by involving their employees in learning and innovation.
  3. More discussions with other AI leaders will follow, and the community will offer resources like briefings and events to support professionals in their AI journey.
The Hard Fork by Marvin Liao 216 implied HN points 13 Jan 24
  1. Silicon Valley is seeing a shift towards a more masculine, ruthless culture led by powerful men in tech.
  2. Tech companies are moving towards a leaner, more focused approach after facing financial challenges.
  3. Surviving in the current Silicon Valley landscape requires a severe mindset change, frugality, and hard work.
The Rabbit Hole 314 implied HN points 19 Apr 23
  1. Twitter is empowering Citizen Journalists with features like Community Notes, Verification, and Creator Monetization.
  2. Trust in traditional media has declined, creating a space for Citizen Journalism to thrive on social media platforms like Twitter.
  3. Citizen Journalism on Twitter can democratize fact-checking, offer financial opportunities through monetization, and inspire a new generation of truth-seekers.
Brad DeLong's Grasping Reality 169 implied HN points 14 Mar 24
  1. Very large-scale, high-dimension regression and classification analysis will be game-changing, transforming bureaucracy to algorithms with significant impacts across sectors from finance to healthcare.
  2. Natural-language interfaces to databases may be challenging to control but offer more intuitive access to vast information repositories, potentially enhancing user efficiency.
  3. Autocomplete technology provides substantial time savings for white-collar workers, illustrating the significant productivity boost modern technologies can offer.
Theology 29 implied HN points 30 Jan 25
  1. Businesses need to understand their own processes before using AI. If they don't know how things work, they can't expect AI to help them effectively.
  2. Using many different AI agents can make things more complicated, not easier. It could create a messy system that is hard to manage.
  3. AI agents can't replace human intuition or creativity. They follow strict rules and won't come up with new ideas or solutions.
Equal Ventures 79 implied HN points 05 Jun 23
  1. Insurtech investments experienced a hype cycle: Surge in investments followed by multiples collapsing causing pain and caution among investors
  2. Disruption of legacy insurers by new entrants is challenging: Product innovation made purchase easier, but companies need to be profitable, not just innovative
  3. Digital transformation in insurance sector is valuable: Tech-enabled ecosystem enablers creating value, while legacy insurers are seeking digital capabilities
Sunday Letters 119 implied HN points 30 Jan 23
  1. We are entering a new tech era, especially with AI, which opens up many exciting possibilities. It's important to not just focus on small improvements, but aim for bigger ideas instead.
  2. Thinking big might sound crazy to others, but history shows that ambitious ideas can turn into reality, like Amazon or Google. Don't be afraid to dream and build something that seems impossible today.
  3. As technology improves, we should imagine what we could create when things are faster and cheaper. It's crucial to think ahead and aim for the future, even if it's a challenge.
Wadds Inc. newsletter 99 implied HN points 09 Mar 23
  1. AI tools can help speed up tasks in public relations, like writing press releases. They make it easier to summarize information and generate content.
  2. While AI can do a lot, it still needs human oversight. The outputs can be rough and may require changes to make them useful.
  3. It's important for PR teams to explore how AI can work in their daily tasks. By testing tools together, teams can find the best ways to use AI effectively.
The Digital Anthropologist 39 implied HN points 10 Oct 23
  1. Fridges serve as analog bastions in our digital world, rejecting being fully digital.
  2. Fridges are powerful social signals and tell stories of families through the items displayed on them.
  3. Despite efforts to make fridges digital with screens and tracking capabilities, many people prefer the analog charm of traditional fridges filled with magnets, notes, and personal mementos.
Resilient Cyber 119 implied HN points 27 Nov 22
  1. The Department of Defense is adopting a Zero Trust strategy to improve security by not automatically trusting any user or device, and it aims to fully implement this approach in five years.
  2. Key goals of the strategy include fostering a culture of Zero Trust within the organization, accelerating technology adoption, and ensuring DoD systems are secure and well-defended.
  3. Success relies on collaboration across all levels of the DoD, as well as proper funding and resources to support the technology and cultural shifts needed for this new security model.
Equal Ventures 178 implied HN points 23 Aug 21
  1. The grid is transitioning to a new energy economy that resembles the internet, with decentralized power sources and real-time supply and demand management.
  2. The future grid will be dominated by network effects, similar to how internet companies have leveraged network effects for success.
  3. Business model innovation in the energy sector is crucial for driving adoption of new energy technologies, even more so than technological advancements.
Sector 6 | The Newsletter of AIM 19 implied HN points 08 Oct 23
  1. Attrition, or employee turnover, is a big issue for Indian IT companies, with rates around 20%. Generative AI could help lower this number and support a better work culture.
  2. Many employees leave because their skills aren't recognized or used properly by their employers. Companies need to understand and address skill gaps.
  3. Using generative AI can help employers predict future skills needed, making it easier to keep employees engaged and satisfied.
Engineering Enablement 9 implied HN points 16 Feb 24
  1. The Thoughtworks Technology Radar categorizes technologies into four rings: Hold, Assess, Trial, and Adopt based on their readiness and suitability for adoption.
  2. The Radar provides a snapshot of technologies seen in the previous six months and aims to showcase what's happening globally in the tech industry.
  3. The Radar is produced through a process of collecting technology proposals from Thoughtworks employees, voting on their inclusion, and finalizing around 100 blips for publication.
The Ideaspace 18 implied HN points 23 Mar 23
  1. Traditional ways of releasing music and creative work are becoming obsolete due to digitization.
  2. Different paths are being considered in response to the changing landscape, such as relying on AI, embracing the metaverse, or forming separate 'network states'.
  3. Metalabel offers a collaborative platform for creatives to release work together in response to the evolving creative environment.
Thái | Hacker | Kỹ sư tin tặc 39 implied HN points 20 Dec 20
  1. Success in the tech world is linked to digital transformation, where companies utilize technology to create new revenue streams and value.
  2. To thrive in the tech industry, organizations must embrace a culture of rapid adaptation and continuous learning, rather than just relying on specific technologies.
  3. Digital transformation is more about changing mindset rather than simply moving operations online, emphasizing the need for agile thinking and constant evolution.
Amirul’s Substack 1 HN point 11 Apr 24
  1. Transitioning to digital should involve more than just adopting new technologies; it should also focus on reimagining business operations and ways of working.
  2. Simply replacing physical processes with digital ones does not equate to true digital transformation; the focus should be on enhancing user experiences and efficiency.
  3. Mixing emerging technologies with traditional IT culture can hinder digital transformation; organizations need to address organizational silos and adapt their operating models for successful digitalization.
Perspective Agents 9 implied HN points 24 Feb 23
  1. As technology scales, humans struggle to keep up with the rapid advancements, exposing the 'Scale Problem.'
  2. The rapid growth and adoption of digital technologies have shifted focus to attention as a valuable commodity, leading to power shifts and influence aggregation.
  3. The advancement of generative AI, like ChatGPT, raises questions about its impact on society and the need to shift towards a more human-centric approach to technological innovation.