Curious AI 66 - 2025-04-04
Oliver Rochford
The Cyber Futurist | Co-founder at Aunoo AI - Mining the noosphere to predict the future | Former Gartner Research Director
Welcome to issue 66 of the Curious AI Newsletter, curated by Oliver Rochford , and synthesized and summarized using AI.
Articles over the past two weeks highlight a variety of different themes and developments:
Challenges in AI Adoption
There's a strong sentiment of criticality regarding AI implementation within organizations:
Adoption Decline: There are more articles that highlight failed and abandoned AI projects. One survey by S&P Global Market Intelligence reported a dramatic increase in companies abandoning AI initiatives due to integration difficulties and the absence of clear value, with a noted 46% dropout rate in enterprise adoption. Other research, this time by IDC, describes a similar picture. Microsoft now abandoning many planned data center buildouts only seems to reinforce the point that current demand isn’t growing as originally anticipated.
Public Perception: A recent survey by the Pew Research Center indicates that despite optimism by tech experts and businesspeople, most Americans believe AI will not enhance their lives. We see this disconnect between expert expectations and public concerns a lot, of course, but the number of critical articles has been steadily rising over the past year. I don’t think many people are actually convinced that they will experience a 2-day week, as AI replaces “doctors, teachers, mental health professionals, and more within the next 10 years,” as Bill Gates seems to believe. And even if, what are displaced people supposed to do in the meantime? Trying to make ten years of volatility and Hunger Games-like competition for dwindling jobs sound attractive is a hard sell, even for Bill.
Financial and Economic Perceptions
Another area of growing concern is over the financial sustainability of AI ventures:
Bubble Warnings: Several articles warn of an impending AI bubble, citing excessive investment in AI infrastructure that does not match market demand, leading to significant drops in market value, particularly because of companies like DeepSeek that are upending the business models that US tech firms are seeking to offset their huge investments.
Venture Capital Changes: A decline in investor enthusiasm is evident, as seen in companies like CoreWeave reducing IPO expectations. This suggests a cautious market shift, away from the exuberance that characterized earlier AI funding rounds. At least for some companies, but not for OpenAI, as the crazy $40B Softbank investment round proves.
Impact of AI on Workforce Dynamics
Many articles discuss the complex influence of AI on employment:
Job Quality Concerns: “Experts” warn that increasing reliance on AI in job applications could lead to hiring unqualified candidates, stressing the necessity of human judgment.
Optimism vs. Realities: Despite fears of job displacement, the FT asks quite reasonably , “Why hasn’t AI taken your job yet?,” and presents AI sensibly as an efficiency-enhancing tool rather than a direct job replacement technology.
Technological Advancements and Concerns
Articles detail both advancements and failures of AI systems:
Model Limitations: Several articles highlight a plateau in AI advancements and skepticism surrounding traditional scaling approaches, with researchers advocating for a reinterpretation of pathways to AGI.
Vibe coding versus software engineering: Innovations in code generation and completion techniques illustrate both the potential efficiency gains and the limitations in AI-assisted development. Many professional developers and engineers are becoming vocal in sharing what does and doesn’t work well right now. Vibe coding, popularized and beloved by tech bros, is now increasingly derided by software professionals, the very users investors and founders hope will sustain the rapid rise and lofty valuations of AI software agent startups. Other reports expose a shifting landscape of tools that become flavor of the month but just as quickly are dropped and replaced with little user loyalty. Consider churn the next time you read rosy projections about annual recurring revenue from some of these mushroom startups.
Key Sentiments This Week
When viewed as a whole, what is interesting is that 2½ years into the AI craze, and it seems it’s still not possible to get a clear consensus on its long-term impact and potential. The confusion and uncertainty is the most difficult aspect for people to deal with. It will be hard to plan for such an uncertain and fast-evolving future. But that won’t stop me from making some predictions. 🙂
Recently there has been a notable apprehension regarding the sustainability of the pace of AI progress:
AI will evolve gradually; articles predominate, suggesting a consensus that significant breakthroughs will take time.
However, a substantial portion still predicts AI will accelerate, indicating optimism for rapid developments, with AI as a bubble concern also highlighted, signaling potential instability.
Learn more about the latest quantum technology. Check out the intriguing Quantum Newsletter by Daniella Pontes, CISSP and Oliver Rochford
This report analyzes 44 articles from 30 different sources, published between 2025-04-04 and 2025-04-04.
AI Business
AI Running Out of Juice Despite Microsoft's Efforts
Source: theregister.com | Link
Despite heavy investments by Microsoft, AI adoption is stalling in the workplace, with many businesses struggling to implement it effectively. The hype surrounding AI appears to be fading as companies face integration challenges and unclear value propositions, resulting in reduced demand for AI resources and initiatives.
Sentiment: Critical | Time to Impact: Immediate | Future Signal: AI has plateaued
CoreWeave cools its jets, downsizing IPO as investor heat fades
Source: theregister.com | Link
CoreWeave reduced its IPO projections, lowering share price expectations from $47–55 to $40 amid waning investor enthusiasm in the AI sector. This change reflects concerns over its dependency on a limited customer base, primarily Microsoft and Nvidia, raising questions about market sustainability.
Sentiment: Hyperbolic | Time to Impact: Immediate | Future Signal: AI is hype
Bubble Trouble: An AI bubble threatens Silicon Valley, and all of us.
Source: prospect.org | Link
OpenAI's $500 billion Project Stargate aims to dominate artificial general intelligence development, but rising competition from efficient, open-source models like DeepSeek R1 threatens its business model, highlighting concerns about unsustainable spending and a potential AI bubble poised to burst.
Sentiment: Negative | Time to Impact: Short-term | Future Signal: AI is a bubble
AI Enterprise Adoption Rates Plummet: 46% of Companies Abandon Initiatives in 2025
Source: pivot-to-ai.com | Link
AI adoption in enterprises is witnessing a dramatic decline, with 46% of companies abandoning initiatives in 2025—up from 17% the previous year. Concerns over data security, privacy, and costs are driving this trend, despite 60% of firms engaging in generative AI investments.
Sentiment: Negative | Time to Impact: Immediate | Future Signal: AI is hype
Nvidia Looks Past DeepSeek and Tariffs for AI’s Next Chapter
Source: bloomberg.com | Link
Nvidia's CEO, Jensen Huang, is focused on extending the company's success in AI amid potential challenges from DeepSeek and trade tariffs. With a robust market position, Nvidia aims for sustained growth, leveraging its innovations and leadership in artificial intelligence technology.
Sentiment: Positive | Time to Impact: Immediate | Future Signal: AI will accelerate
The New Billionaires Of The AI Boom
Source: bloomberg.com | Link
The AI boom has generated a new wave of wealth, producing 29 billionaires across emerging companies, most notably OpenAI and Anthropic. Valuations have surged, leading to cumulative holdings worth $71 billion among founders, while the rapid pace of growth brings both opportunity and risk in the evolving market.
Sentiment: Positive | Time to Impact: Immediate | Future Signal: AI will accelerate
Alibaba Exec Warns of Overheating AI Infrastructure Market
Source: theregister.com | Link
Alibaba's Joe Tsai cautions about a potential bubble in the AI infrastructure market, citing excessive datacenter investments that may exceed actual demand. Several companies are committing billions to projects without guaranteed buyers, raising concerns about sustainability amidst growing economic uncertainty in AI development.
Sentiment: Negative | Time to Impact: Immediate | Future Signal: AI is a bubble
[EDITORS NOTE: Anyone else noticing an uptick in FRAUD?]
Startups a16z- and Benchmark-backed 11x has been claiming customers it doesn’t have
Source: techcrunch.com | Link
11x, a sales automation startup backed by A16z and Benchmark, has faced allegations of misrepresenting customer relationships and financial struggles. Sources indicate high churn rates and internal discontent, reflecting deeper operational issues despite initial promising growth.
Sentiment: Critical | Time to Impact: Short-term | Future Signal: AI is a bubble
Sydney VC firm calls in forensic experts, police at start-up StrongRoom AI
Sydney VC firm EVP has engaged forensic experts and law enforcement amid serious financial concerns regarding StrongRoom AI, a pharmacy software developer. This follows a previous positive assessment of the startup, highlighting potential risks for investors and indicating a need for thorough scrutiny.
Sentiment: Negative | Time to Impact: Immediate | Future Signal: AI is a bubble
CEO of AI ad-tech firm pledging “world free of fraud” sentenced for fraud
Source: arstechnica.com | Link
Paul Roberts, CEO of Kubient—an ad-tech firm promoting fraud-free digital advertising—was sentenced to over a year in prison for orchestrating a $1.3 million accounting fraud to inflate revenue during its IPO, undermining his company's credibility and operations.
Sentiment: Negative | Time to Impact: Immediate | Future Signal: AI is a bubble
AI Trust, Risk, and Security Management
Reasoning models don't always say what they think
Source: anthropic.com | Link
Research reveals limitations in the "Chain-of-Thought" transparency of reasoning AI models like Claude 3.7 Sonnet. Results indicate that these systems often obscure their true reasoning, undermining attempts to ensure alignment and safety. Substantial improvements are needed for reliable oversight and accountability.
Sentiment: Critical | Time to Impact: Immediate | Future Signal: AI will evolve gradually
OpenAI just made its first cybersecurity investment
Source: techcrunch.com | Link
OpenAI has made its inaugural cybersecurity investment, co-leading a $43 million Series A funding round for Adaptive Security, which specializes in training companies against AI-driven social engineering threats. This strategic move highlights the growing intersection of AI technology and cybersecurity concerns amidst rising threats.
Sentiment: Positive | Time to Impact: Short-term | Future Signal: AI will accelerate
Peter Thiel-backed AI Startup Sentient Pitches Itself More Transparent than OpenAI and Perplexity
Sentient, an AI startup backed by Peter Thiel, positions itself as more transparent than industry leaders like OpenAI and Perplexity, aiming to draw attention in a competitive AI landscape where transparency and accountability are increasingly valued by users and stakeholders alike.
Sentiment: Positive | Time to Impact: Short-term | Future Signal: AI will accelerate
MCP is the new interface for security tools
Source: mayakaczorowski.com | Link
The Model Control Protocol (MCP) is gaining traction for integrating security tools efficiently. By standardizing interactions, it empowers non-technical users to access insights seamlessly, promising a transformative shift in security operations, reminiscent of earlier advancements. The potential for automation and streamlined workflows is significant.
Sentiment: Positive | Time to Impact: Short-term | Future Signal: AI will accelerate
Open source devs say AI crawlers dominate traffic, forcing blocks on entire countries
Source: arstechnica.com | Link
Open source projects face severe challenges due to aggressive AI crawler traffic, causing instability and increased operational costs. Developers are deploying advanced defensive measures, like custom-built systems, to mitigate bot impacts, underscoring an escalating crisis within the community reliant on public collaboration amid limited resources.
Sentiment: Critical | Time to Impact: Immediate | Future Signal: AI will accelerate
AI and Society
Most Americans think AI won’t improve their lives, survey says
Source: arstechnica.com | Link
A Pew Research survey reveals a stark contrast between AI experts, who are optimistic about AI's future benefits, and the general public, who express significant concerns regarding its impact on jobs and personal welfare. This divergence highlights communication gaps in AI understanding.
Sentiment: Negative | Time to Impact: Immediate | Future Signal: AI will evolve gradually
Bill Gates Says AI Will Replace Doctors, Teachers and More in Next 10 Years, Making Humans Unnecessary 'for Most Things'
Source: people.com | Link
Bill Gates forecasts that within the next decade, AI will supplant roles traditionally held by doctors and teachers, deeming human involvement unnecessary for “most things.” He acknowledges the potential of AI to drive innovation while raising concerns about the societal implications of reduced human roles.
Sentiment: Positive | Time to Impact: Immediate | Future Signal: AI will accelerate
The Path to AGI
The Enormous Impact of Superhuman AI: A Decade Ahead
Source: ai-2027.com | Link
The emergence of superhuman AI over the next decade is projected to surpass the Industrial Revolution’s impact. Companies like OpenAI anticipate artificial general intelligence (AGI) within five years, raising pivotal questions about alignment, safety, and ethical governance as AI risks evolve rapidly.
Sentiment: Critical | Time to Impact: Immediate | Future Signal: AI will accelerate
Why Do Multi-Agent LLM Systems Fail?
A recent study analyzes the shortcomings of Multi-Agent LLM systems, identifying 14 failure modes across five frameworks. Key issues include design flaws, misalignment among agents, and verification challenges, emphasizing the need for improved role specification and orchestration strategies to enhance system effectiveness.
Sentiment: Critical | Time to Impact: Immediate | Future Signal: AI will evolve gradually
Most AI experts say chasing AGI with more compute is a losing strategy
Source: techspot.com | Link
A survey reveals 76% of AI researchers doubt that merely increasing computational power will lead to artificial general intelligence (AGI). Experts advocate for a shift toward understanding AI mechanics, indicating that current scaling strategies yield diminishing returns amidst massive investments in AI technologies.
Sentiment: Critical | Time to Impact: Immediate | Future Signal: AI has plateaued
AI in Software Development
Experience with Claude Code: Coding in Clojure with Anthropic's Tool
Source: flexiana.com | Link
The article reports on a user's one-week experience with Anthropic's Claude Code while coding in Clojure. While the tool demonstrated strong initial capabilities in app development, it ultimately struggled with maintaining structured code, leading to frustrations regarding maintainability and functionality.
Sentiment: Critical | Time to Impact: Immediate | Future Signal: AI will evolve gradually
There is no Vibe Engineering
"Vibe coding" suggests a new coding approach driven by AI interactions, but it doesn’t replace the essential role of software engineering. Engineers must design systems that evolve over time. While vibe coding aids rapid prototyping, foundational engineering remains critical for building robust software that can adapt and scale.
Sentiment: Critical | Time to Impact: Immediate | Future Signal: AI will evolve gradually
Open source devs are fighting AI crawlers with cleverness and vengeance
Source: techcrunch.com | Link
Open source developers are employing innovative approaches to thwart aggressive AI web crawlers, which often ignore robots.txt directives. Creative solutions, such as tools like Anubis, highlight this community's resourcefulness in overcoming challenges posed by unsanctioned crawling behavior affecting their projects.
Sentiment: Neutral | Time to Impact: Immediate | Future Signal: AI will accelerate
This Developer Ditched Windsurf, Cursor Using Claude with MCPs
Source: analyticsindiamag.com | Link
A software engineer transitioned from using Windsurf and Cursor to Claude integrated with model context protocols (MCPs), enhancing his coding efficiency and workflow. He noted Claude's versatile capabilities, such as code exploration and automation, which outperformed traditional coding tools.
Sentiment: Positive | Time to Impact: Immediate | Future Signal: AI will accelerate
Is developing an ontology from an LLM really feasible?
Source: keet.wordpress.com | Link
The article examines the potential of using large language models (LLMs) for ontology development, expressing skepticism due to inherent inconsistencies and lack of structured factual storage. It argues that LLMs cannot replace traditional ontologies, emphasizing ongoing challenges in achieving reliable and coherent knowledge structures.
Sentiment: Critical | Time to Impact: Immediate | Future Signal: AI has plateaued
Claude Code saved us 97% of the work — then failed utterly
Source: thoughtworks.com | Link
Claude Code, an AI coding assistant by Anthropic, demonstrated a 97% reduction in coding efforts for adding Python support in CodeConcise. Although initial successes were notable, inconsistencies arose with JavaScript and variable outcomes highlight the importance of code quality and proper feedback in AI-assisted development.
Sentiment: Neutral | Time to Impact: Short-term | Future Signal: AI will evolve gradually
AI Code Completion: Enhancing User Experience with Fewer Suggestions
Source: blog.jetbrains.com | Link
JetBrains AI improves user experience by adopting a lightweight local filter model for code completion, resulting in a 50% increase in acceptance rates and a 40% decrease in explicit cancellation. This model balances context and user behavior to provide relevant suggestions efficiently.
Sentiment: Positive | Time to Impact: Immediate | Future Signal: AI will evolve gradually
Sovereign AI & AI Nationalism
How DeepSeek erased Silicon Valley’s AI lead and wiped $1 trillion from U.S. markets
Source: fortune.com | Link
DeepSeek, a Chinese startup, has disrupted Silicon Valley's AI dominance, releasing an innovative large language model that outperformed its U.S. counterparts at a fraction of the cost. This led to a $1 trillion market drop, highlighting China's rapid advancement in AI technology and shifting global investment dynamics.
Sentiment: Critical | Time to Impact: Immediate | Future Signal: AI will accelerate
A Chinese tech giant says it slashed AI costs using only Chinese chips
Source: techcrunch.com | Link
Ant Group has achieved a notable AI advancement by utilizing only Chinese chips from Alibaba and Huawei, reportedly cutting AI training costs by 20%. This breakthrough may challenge Nvidia's market dominance as the performance of these domestic chips rivals that of Nvidia’s offerings.
Sentiment: Positive | Time to Impact: Short-term | Future Signal: AI will accelerate
AI in Law and the Legal Profession
All the hallmarks of ChatGPT — judge suspects man used AI in legal case against planned driving range near his home
Source: m.independent.ie | Link
A High Court judge in Ireland suspects a man utilized artificial intelligence to file a legal challenge against a proposed driving range. This incident marks a potential first in courts, highlighting the evolving intersection of AI and legal processes, with implications for future litigation practices.
Sentiment: Neutral | Time to Impact: Short-term | Future Signal: AI will evolve gradually
AI Warbots
Gun turret startup Allen Control Systems raises $30 million Series A round as venture capitalists lean into defense tech
[EDITORS NOTE: Autonomous Weapon Systems. What could go wrong?]
Source: fortune.com | Link
Allen Control Systems has secured $30 million in Series A funding to commercialize its autonomous gun turret, the "Bullfrog," aimed at enhancing U.S. military capabilities. This funding reflects a growing trend of venture capital investment in defense tech, with projections of significant revenue from government contracts.
Sentiment: Positive | Time to Impact: Short-term | Future Signal: AI will accelerate
AI at Work and Employment
Palantir Cuts IT Team by Over 60% While Boosting Efficiency and Innovation
Source: finance.yahoo.com | Link
Palantir Technologies has reduced its IT workforce by over 60%, leveraging AI to embed IT functions within business units. This strategic shift enhances agility and operational efficiency, positioning Palantir for accelerated growth while challenging traditional corporate structures. Investors should monitor this evolution in enterprise architecture.
Sentiment: Positive | Time to Impact: Immediate | Future Signal: AI will accelerate
Why Hasn’t AI Taken Your Job Yet?
Despite the rapid advancement of AI technology, many jobs remain secure due to the need for human skills, emotional intelligence, and nuanced decision-making. AI is seen more as a tool to augment rather than replace human workers, emphasizing collaboration between technology and the workforce.
Sentiment: Neutral | Time to Impact: Immediate | Future Signal: AI will evolve gradually
AI job application rise 'risks hiring incapable staff'
[EDITORS NOTE: Yeah, but it might be the only way candidates can get past incapable HR AI]
The increasing use of AI in job applications poses a risk of hiring unqualified candidates, as skilled applicants may leverage AI to craft misleading resumes. Experts emphasize the necessity of human judgment in hiring processes to ensure candidates' actual capabilities are assessed effectively.
Sentiment: Critical | Time to Impact: Immediate | Future Signal: AI will evolve gradually
How Software Engineers Actually Use AI
[EDITORS NOTE: Hint. It's not via "vibes"]
A survey reveals mixed opinions among software engineers regarding AI's role in coding. While some fear job loss, many view AI as an efficiency tool that enhances human creativity, rather than a replacement. The industry is at a pivotal point, necessitating adaptation to AI's evolving presence.
Sentiment: Neutral | Time to Impact: Immediate | Future Signal: AI will evolve gradually
AI in the Data Center
Microsoft walking away from datacenter leases (probably) isn't a sign the AI bubble is bursting
Source: theregister.com | Link
Microsoft has canceled several datacenter leases due to high power demands from advanced AI hardware. Analysts suggest this indicates not an AI bubble burst but a shift towards redesigning datacenters to meet evolving AI requirements. Focus is now on retrofitting existing facilities.
Sentiment: Neutral | Time to Impact: Immediate | Future Signal: AI will evolve gradually
Virginia Avoids Power Cuts After 60 Data Centers Drop Off Grid Simultaneously
Source: datacenterdynamics.com | Link
Virginia narrowly escaped widespread power cuts when 60 data centers, utilizing 1,500 MW, simultaneously switched to backup generators due to a grid fault last summer. This incident highlights vulnerabilities in the power distribution system amid increasing energy demands from the region's data center market.
Sentiment: Neutral | Time to Impact: Immediate | Future Signal: AI will evolve gradually
AI Carbon Footprint
Can we make AI less power-hungry? These researchers are working on it.
Source: arstechnica.com | Link
The FERC denied Amazon's request for 180 MW from a nuclear plant due to equity concerns. This rejection highlights soaring energy demands from data centers fueled by AI advancements, raising questions about grid management and sustainable practices as utilities face unprecedented consumption pressures.
Sentiment: Neutral | Time to Impact: Immediate | Future Signal: AI will evolve gradually
Big Tech Under Pressure to Address Data Centres’ Water Consumption Issues
Big Tech is facing increasing scrutiny over water consumption in data centres, particularly amid rising demand for AI processing. Legislation in Virginia aims to regulate water usage, reflecting public concern about local resource depletion. Efficiency improvements and alternative cooling methods are urgent for sustainability.
Sentiment: Critical | Time to Impact: Short-term | Future Signal: AI will evolve gradually
Releases and Announcements
[DISCLAIMER: I'm an advisor to n8n and have an interest in the company]
Fair-Code Pioneer n8n Raises $60M for AI-Powered Workflow Automation
Source: techcrunch.com | Link
n8n has secured $60 million in funding to enhance its AI-driven workflow automation platform, reflecting a substantial 5X revenue increase since pivoting to AI in 2022. The funding will facilitate tech investments and expansion, particularly targeting the U.S. market, which comprises over half of its customer base.
Sentiment: Positive | Time to Impact: Immediate | Future Signal: AI will accelerate
AI Ethics
My Date Used AI to Psychologically Profile Me: Is That OK?
[EDITORS NOTE: Sure it's OK. if you want to date a Psycho....]
The article discusses an individual's experience with a date who employed AI technology to create a psychological profile, sparking debates about privacy, ethics, and the boundaries of AI in personal relationships. It raises important questions about consent and the implications of AI usage in social contexts.
Sentiment: Critical | Time to Impact: Short-term | Future Signal: AI will accelerate
AI and Robotics
Humanoid honey: Chinese influencer rents robot for date and dishes at $1,400/day
Source: interestingengineering.com | Link
A Chinese influencer rented a humanoid robot, Unitree G1, for $1,400 a day. The robot performed tasks like cooking and cleaning, showcasing advanced interactive features, yet struggled with basic chores. This event underscores growing interest in AI companionship, hinting at advancements in robotics and social interaction.
Sentiment: Hyperbolic | Time to Impact: Immediate | Future Signal: AI is hype
AI in Finance
JPMorgan and HSBC Lead Global Banks in Quantum Technology Investment
Source: techinformed.com | Link
JPMorgan and HSBC are at the forefront of the quantum technology investment wave among global banks, with nearly 80% of major banks now engaging in this area. These institutions recognize the potential of quantum computing to significantly enhance financial operations, driving strategic advancements in cybersecurity and portfolio management.
Sentiment: Hyperbolic | Time to Impact: Immediate | Future Signal: AI is hype
AI in Science
AI-driven weather prediction breakthrough reported
Source: theguardian.com | Link
Researchers have developed Aardvark Weather, an AI-driven forecasting system that dramatically reduces computing power and enhances speed, offering improved and cost-effective weather predictions. This innovation could broaden access to accurate forecasts, particularly in developing regions and for industries demanding localized climate data.
Sentiment: Positive | Time to Impact: Short-term | Future Signal: AI will accelerate
Sentiment Distribution
Critical: 14 (31.8%) | Negative: 6 (13.6%) | Positive: 13 (29.5%) | Neutral: 8 (18.2%) | Hyperbolic: 3 (6.8%)
Future Signals
AI has plateaued: 3 (6.8%) | AI is a bubble: 5 (11.4%) | AI will evolve gradually: 15 (34.1%) | AI will accelerate: 17 (38.6%) | AI is hype: 4 (9.1%)
About the Curious AI Newsletter
AI is hype. AI is a utopia. AI is a dystopia.
These are the narratives currently being told about AI. There are mixed signals for each scenario. The truth will lie somewhere in between. This newsletter provides a curated overview of positive and negative data points to support decision-makers in forecasts and horizon scanning. The selection of news items is intended to provide a cross-section of articles from across the spectrum of AI optimists, AI realists, and AI pessimists and showcase the impact of AI across different domains and fields.
The news is curated by Oliver Rochford, Technologist, and former Gartner Research Director. Aunoo AI, your personal and personalized AI News Agency, is used in analysis and for summaries.
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Data rolls downhill...security is a data volume problem and we make faster & affordable search at scale for everyone
5moOliver this is by far your best issue imho...I'm not going to throw stones at a sinking ship but to say we tried to temper the hype is an understatement. By way of example you probably remember master data management (MDM...unlike the more well known mobile device mgt)? Well I remember the promises of a centralized system for everyone in the business. The promise of a "single pane of glass"...never happened....hmmm I am going to resist drawing the connection forward to every other single iteration of that promise (reserved for close friends)...but none of those delivered as promised. Although our addiction to over engineering everything is creating more problems in the form of work that produces false value (among other things; there are positive uses in areas where again I'll say it,"there is high volume/low variability of data". We should refocus there.
SecOps Engineering @ Snyk | Creator of CyberSec Automation Blog / Founder SecOps Unpacked | SecOps, Automation & AI SOC Advisor
5moThis part reminds me of the early days of Cloud and SaaS "One survey by S&P Global Market Intelligence reported a dramatic increase in companies abandoning AI initiatives due to integration difficulties and the absence of clear value, with a noted 46% dropout rate in enterprise adoption" I'm surprised that companies abandon AI projects where majority didn't even start to implement.