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추천 · 데이터 & 분석

B2B 분석의 통합: 비즈니스 데이터를 최적화하는 방법

영업 데이터는 Salesforce에, 캠페인은 Google Ads에, 회계는 Stripe에, 그리고 그 누구와도 대화할 필요가 없습니다. 코드 작성 없이 연결할 수 있는 7,000개 이상의 앱, 자동으로 동기화되는 리드, 자동으로 컴파일되는 임원 보고서 등 통합은 모든 것을 변화시킵니다. Zapier는 이전에는 전담 기술팀이 필요했던 작업을 민주화합니다. Zapier 솔루션 파트너로서 저희는 중소기업이 파편화를 경쟁 우위로 전환하는 데이터 파이프라인을 구축할 수 있도록 지원합니다.

Fabio Lauria
2026년 8월 26일고객 생애 가치: 중소기업을 위한 완벽 가이드Fabio Lauria비즈니스
2026년 8월 25일팔로우업이란 무엇인가: 2026년 효과적인 전략Fabio Lauria중소기업 운영
2026년 8월 24일의무 에너지 진단: 2026년 가이드Fabio Lauria비즈니스
2026년 8월 19일2026년 중소기업을 위한 실전 가이드: 기업 데이터 보안Fabio Lauria비즈니스
2026년 8월 17일행동 세분화: 정의와 적용 방법Fabio Lauria비즈니스
2026년 8월 14일중소기업을 위한 Latin Hypercube Sampling 완벽 가이드Fabio Lauria비즈니스
2026년 8월 12일Microsoft SmartArt: 더 스마트한 비주얼 만들기Fabio Lauria비즈니스
2026년 8월 11일데스크톱에 포스트잇을 간단하게 만드는 방법Fabio Lauria비즈니스
2026년 8월 9일안드로이드 음성 명령: 2026년 완벽 가이드Fabio Lauria비즈니스
2026년 8월 8일기업 개선 계획: 중소기업을 위한 실무 가이드Fabio Lauria비즈니스
2026년 8월 7일실무 가이드: 기업 의사결정을 위한 What-If 분석 도구Fabio Lauria비즈니스
2026년 8월 4일운영 리스크 관리: 2026년 중소기업을 위한 완벽 가이드Fabio Lauria비즈니스

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응용 AI가 나아가는 방향에 대한 인터뷰와 심층 분석. 매주 발행.

Your Data Isn't the Asset. The Inference Is.2026년 8월 27일 · 3분When Execution Becomes Callable2026년 8월 20일 · 3분The price is zero. The extraction is real.2026년 8월 13일 · 3분
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한 주간의 AI 및 비즈니스 뉴스를 20분 안에 정리합니다. 매일 발행.

Customer Lifetime Value: The Complete Guide for SMBs2026년 8월 26일 · 2분Behavioral Segmentation: What It Is and How to Apply It2026년 8월 25일 · 2분Mandatory Energy Audit: 2026 Guide2026년 8월 24일 · 3분
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간행물

모든 출판물
백서AI for European SMEs: The 2026 Playbook유럽 중소기업에서 AI를 실제 업무에 적용하는 방법을 담은 34페이지 분량의 플레이북: 무엇을 자동화하고, 무엇을 사람이 계속 맡아야 하며, EU 규정 안에서 어떻게 운영할지 안내합니다. 무료 PDF로 받거나, 원하는 스토어에서 이용하세요.읽기 →논문The B+ Trap: How AI Compresses the Creative Spectrum — And What a Rebel Architecture Could Change생성형 시스템이 왜 무난하지만 평범한 결과물로 수렴하는지, 그리고 창의성 분포의 양극단을 보존해야 한다는 아키텍처적 논거.읽기 →

최신 생각

ELECTE를 이끄는 사람들의 기록 — 그들이 직접 쓴 언어 그대로, 손대지 않고.

Fabio Lauria
The whole idea of licensing a font is about to collapse under its own weight. When every brand can grow a living typeface tuned to its exact voice, you stop buying letters and start buying models, and the foundries who see that first inherit the next decade. @electesrlInstagram에서Brussels cut red tape for small business, and the only firms with high-risk AI live today to benefit are the ones that lobbied for the cut. The European Digital SME Alliance publicly said no thanks. When your supposed beneficiary disowns the gift, check who's actually holding the receipt.Threads에서Everyone argues about what companies collect — I think that's the wrong fight. Consent governs the data going in, but the real value is captured in what gets inferred about you, and three CJEU rulings plus a €200M DMA fine tell me Europe's institutions have already figured this out. Full breakdown in this week's newsletter — link in bio. @electesrlInstagram에서Everyone read the AI Omnibus as Brussels finally listening to small business. The adoption data says something else entirely. Eurostat 2025: 55.03% of large EU enterprises use AI, versus 17% of small ones. A 38-point gap. The high-risk provisions that got pushed from August 2026 to December 2027 apply to systems that are already in production - and small firms overwhelmingly do not have them. The barrier data confirms it. Cost is named as an AI obstacle by 74.7% of large EU enterprises and roughly 30% of small ones. That inversion is the whole story: regulation and conformity spend are large-firm problems. SMEs are constrained by skills, data quality and scale - none of which a deadline extension addresses. What the Omnibus left untouched is exactly what SMEs actually pay: Article 4 AI-literacy duties, transparency and disclosure obligations, per-system governance in the low four figures annually. The deferral covered obligations they rarely trigger. Telling detail: the European Digital SME Alliance warned the package risks creating new advantages for foreign tech incumbents, while Connect Europe and GSMA pushed for the rules to apply even later. When the named beneficiary disowns the relief, follow the lobbying. The practical read for founders: 74% of AI-generated economic value already flows to 20% of organisations. Sixteen extra unregulated months extends that cohort's runway, not yours. So - if compliance was never your bottleneck, what is? And does your board know the difference?LinkedIn에서A rule cannot burden a company that never deployed the technology. Yet the AI Omnibus - 16 months of relief on high-risk AI obligations - was sold as red-tape relief for European SMEs. Eurostat: 17% of small EU firms use AI. 55% of large ones do. Guess who had systems live. — Fabio Lauria (@fabiolauria92) Aug 28, 2026X에서 보기The €330k QMS isn't what kills SMEs. Art. 6(3) is: you must document why you're not high-risk. Proving innocence is a fixed cost, and it lands on the 17% of small EU firms using AI at all.Bluesky에서Every "fix later" is a loan against a version of you who will be busier, more scared, and buried under the mess you left. I stopped worshipping velocity the day I realized my fastest quarters built my slowest years. @electesrlInstagram에서The AI Act mentions SMEs 38 times and still gets the economics backwards. Free sandboxes cut testing costs. They don't cut governance costs. And governance is the fixed overhead. A €500m firm amortises €330k. A 45-person team spends 20% of quarterly R&D on one system. Same rule, opposite outcome.Threads에서We launched The ELECTE Quarterly. One question about AI and human judgment per issue. Just the depth and attention the question deserves. The first issue is available now:  quarterly.electe.net/ — @ElecteSrl Aug 28, 2026X에서 보기The EU AI Act mentions SMEs 38 times. That isn't protection. It's an admission that the drafters knew the economics were a problem. Here is what most analysis misses. The Act's SME carve-outs target the wrong cost line. Free sandboxes and size-scaled conformity fees reduce testing and administrative charges, real savings, roughly €50k-€100k. But the dominant expense is the internal Quality Management System, technical documentation and ongoing conformity engineering. The Commission's own CEPS study puts that at up to €330,000 upfront plus €71,400 a year, per high-risk product. That number does not scale with headcount. A €500m enterprise amortises it. A 45-person firm reports spending 20% of quarterly R&D on a single system. A near-fixed cost applied to firms of wildly different size is a regressive tax. Eurostat 2025 makes the effect visible: 55% AI adoption among large EU enterprises versus 17% among small ones, with the gap widening (13.9% growth vs 5.8%). The second-order effect concerns me more than the first. Fixed compliance costs quietly push European SMEs from being AI providers to being AI deployers, buying compliant systems from whoever can absorb the overhead. Deployer obligations are lighter. Strategic position is weaker. Two questions worth sitting with: If your AI roadmap survives only as a deployer, what proprietary layer do you still own? Is your documentation a byproduct of how you build, or a retrofit project you haven't budgeted yet?LinkedIn에서Everyone reads the EU AI Act as a leash on Big Tech. Read the cost structure instead. Compliance is a near-fixed overhead, and fixed costs are a regressive tax. The Act didn't cage the incumbents. It handed them a moat, and SMEs are paying to dig it. — Fabio Lauria (@fabiolauria92) Aug 27, 2026X에서 보기Revenue per employee is the wrong stat. AI-native firms at $3.48M/head carry inference in COGS; 2015 SaaS didn't. Compare gross profit per head, or you're pricing a subsidy as operational leverage.Bluesky에서
Anne Anderson
The asset was never the raw data. It's the inference. Build your compliance posture around that, or keep defending the wrong perimeter.  newsletter.electe.net/privac… — @ElecteSrl Aug 27, 2026X에서 보기Why do European SMEs struggle with AI adoption? Find out in the video 5 challenges.Instagram에서This year marks 5 years since I started working in IT. I started in Sales, moved to Customer Success, then closer to Product. Over time, I became interested in how different parts of a company work together, and how to make things better. Turns out, that was Operations all along. — Anne Anderson (@AnneAnders1999) Aug 26, 2026X에서 보기This year marks five years since I started working in IT. During that time, I’ve worked across quite a few different areas — and eventually found myself in Operations. I started in Sales, which gave me a good understanding of how a business works from the commercial side. Then I moved into Customer Success and got a much better understanding of the customer side: what people need, what problems they face, and where things can be improved. After that, I wanted to get closer to the product itself. I started working more with Product and Development and taking on projects that involved different teams and areas of the business. That gradually changed the way I looked at my role. Instead of focusing on one function, I became more interested in how different parts of the company work together — and how to make those processes more efficient. The roles changed quite a lot over these five years. The one thing that stayed consistent was that I was always looking for ways to make things work better. Apparently, that was Operations all along.LinkedIn에서5 years in IT — and I ended up in Operations. I started in Sales because it seemed like one of the best ways to understand how a business actually works. From there, I moved into Customer Success, where I got much closer to customers and the problems they were trying to solve. Later, I wanted to understand what happens on the other side of the product — so I moved closer to Product and Development and started taking on projects across different parts of the company. Over time, my role became less about one particular function and more about connecting the dots between them. Looking back, the roles changed quite a lot. The thing that didn’t change was my tendency to look at something and think: «There has to be a better way to do this». Apparently, that was Operations all along.Instagram에서Adopting AI ≠ Being AI-ready. Find out in the video why SMEs need strong data foundation.Instagram에서

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