Manager R&D Data Center

Canna Comforts

Director of Development

Carbonite

•	Implements IT DR policy to secure infrastructure servers and applications

•	Identifies critical assets and systems vulnerabilities

•	Manage global data centers for the Cloud Resiliency Services Division, oversee networking, 
           storage and compute operations for Cloud Disaster Recovery Team(CDR)

•	Lead a team of engineers that are responsible for managing 5 different production datacenters as 
           well as managing the 24/7/365 Disaster Recovery business

•	Designed integrated policies for disaster recovery plans

•	Supervise the IT workforce of the company during recovery programs

Senior Manager - Cloud Disaster Recovery Services DC OPS

Seagate Technology

•	Assisted the client with all issues relating to recovering from a full-scale Disaster and bring client back into production mode

•	Studied the different business projects and systems and predict the level and nature of probable risk

•	Coordinated activities with data and systems security analyst to ensure safe maintenance upkeep of organizational data, systems, departments, projects etc.

•	Performed the necessary evaluations, analysis and calculations to predict the uncertainties in 
execution of business functions

•	Prepared a comprehensive disaster recovery planning and testing

•	Worked with vendors for purchase of Storage/Compute/Network/Maintenance/EOL and contract negotiations.

Manager, Cloud Resiliency Services

EVault

•	Assisted clients in strategic decisions regarding disaster recovery and data center transformation, 
          developed disaster recovery methodology to enter a new business segment

•	Responsible for comprehensive client disaster recovery tests in a deadline oriented environment, 
        that included server hardware, Network Infrastructure, operating system, SAN setup of x86/ x64 
        systems on VMware ESX

•	Managed multiple complex projects simultaneously, utilizing both internal and client resources. 
        Researched disaster recovery hardware, software and Network issues and documented solutions

•	Implemented, managed, and documented customer disaster recovery network and infrastructure. 
        DC Cross Connects

•	Maintained production infrastructure of all CDR data centers including space, bandwidth, and 
        power consumption

•	Scaled infrastructure growth with state of the art technologies, while managing multiple budgets

Sr. Systems Engineer Cloud Disaster Recovery

Orbit Medical

•	Ensured that all server hardware, operating systems, software, and procedures aligned with 
        organizational standards and strategic business plan

•	Acted as escalation point for troubleshooting advanced network/systems issues; consistently 
        earned 100% issue-resolution scores by providing excellent service to internal and external 
        customers

•	Trained employees across multiple departments on network operations including log-in 
        procedures, network management software, permissions, printing issues, security and use of 
        software

System Administrator  / Service Desk

AchieveGlobal

Information Technology Help Desk Technician

Bell & Howell

Technical Consultant

🧠 AI is going local and proactive — and it’s changing the rules.

• Microsoft just rolled out deep Copilot enhancements in Windows 11: visualize what’s on your screen, order dinner via voice, or trigger “Hey Copilot” actions directly from your desktop.

 • At GITEX, Microsoft also unveiled new Copilot+ PCs with built-in AI and 5G support—bringing agentic AI down to the endpoint. 

 • Not to be outdone, Apple launched the M5 chip, boasting more than 4× GPU compute gains for AI workloads—putting serious muscle into edge AI.

 • As AI gets more powerful and pervasive, the UK’s MI5 chief warned that autonomous systems bypassing oversight are no sci-fi fear—they’re a real security vector.

The takeaway for leaders & builders:

AI is migrating from cloud to desktop, from passive to agentic. The value isn’t in grand models—it’s in what they do. Embed AI where users live (desktop, device), enforce trust controls, and rethink what “workflow” means when your assistant can act.

How are you preparing your stack (and your guardrails) for AI that doesn’t just suggest but acts?

#AI #EdgeAI #Copilot #AgenticAI #Security #TechLeadership #DarkSeas.AI

Jamie Evans

Chief AI Officer @ DarkSeas.ai | Innovating at the Intersection of AI, Cloud & Crypto | Empowering Founders to Scale and Create Enduring Value for Every Client.

Big shoutout to the entire Mammoth Builders team—you tee’d up a fantastic event tonight! 🏌️‍♂️⛳

Thanks for having DarkSeas.ai at the Southern Utah Property Services Collective. Loved connecting with pros across real estate, property management, finance, insurance, and construction. Props to Claim Pros and Back Nine Golf – Red Cliffs for the perfect venue. 🙌

#SouthernUtah #Networking #MammothBuilders #Tyson #Ethan #ClaimPros #BackNineGolf #DarkSeasAI #StGeorge #PropertyServices #Builders

Solo operators + small teams: here’s what actually moved for you in AI this week 👇

• Ready-to-use tools landed. Microsoft’s latest Dynamics 365 / Power Platform / Copilot Studio updates target practical workflow automation (CRM, invoicing, simple apps) you can switch on without an IT army.

• Lay the groundwork first. A new SME report warns many teams rush to AI before basics like doc management and accounting hygiene—get your digital plumbing set, then automate.

• Signal from Main Street. Recent SMB surveys show most owners now view AI as essential to stay competitive—this isn’t a fad, it’s table stakes.

• Solo advantage. Data suggests solopreneur AI usage is still early—meaning the edge goes to those who ship automations now.

My take: Don’t “buy tools,” design tiny automations that win back hours—lead capture → follow-up, estimates → invoices, support tickets → knowledge-base replies. Measure it weekly.

If you want a lightweight, ROI-first plan (stack, workflows, costs), DM me or visit DarkSeas.ai—happy to tailor a solo/SMB playbook.

MCP servers are leveling up—security, integrations, and real-world channels all landed fresh wins today. 🐙 

🔐 Security first: a new guide walks through hardening MCP servers with OAuth 2.1—exactly the direction enterprises need as agents touch prod data. 

 🚢 Shipping workflows: devs are demoing MCP pipelines that trigger, Heroku deploys straight from agent tools—less copy/paste, more CI.

 🎬 New surfaces: a WhatsApp MCP server dropped, turning chat threads into actionable context (resources, prompts) for agentic flows.

 ♾️ Ecosystem signal: “Local Azure DevOps MCP server” hit the weekly update roll-up—MCP is marching deeper into standard dev stacks.

 ♦️ Wild card: hackers even packaged an MCP server inside Chromium—expect more “MCP everywhere” experiments. X (formerly Twitter)

Bottom line: treat MCP like an enterprise interface—secure by default, wired to your CI/CD, and pointed at channels your users already live in. 🏆 

#MCP #AIagents #Security #DevOps #WhatsApp #CI_CD #DarkseasAI

Crypto isn’t “unhinged”—it’s macro on fast-forward.
In the last 72 hours we saw: 🐙 

 • A fresh BTC ATH earlier this week, then a swift reversal as headlines hit.

 • A tariff shock → flash crash: billions in leveraged positions wiped as traders re-priced risk in minutes. 💀 

 • Flows vs. price: spot BTC ETF activity diverged—record/large daily inflows even as spot sold off. Signals > noise.

My take: Crypto is behaving like a macro-sensitive, institutionally held risk asset. Candles react to headlines; flows and buildout (custody, ETFs, real-world payments, data rails) drive the arc.

If you’re shipping in this market, design for both:

Real-time risk controls (position sizing, circuit breakers, data alerts), and
Long-horizon product that compounds regardless of volatility.

That’s our lane at DarkSeas.ai—we help founders and operators implement practical AI that turns noisy markets into cleaner decisions (automation, data intelligence, agentic ops).

DM me if you want a 15-minute sanity check on your roadmap.
🐙 
— Jamie @ DarkSeas.ai

We build systems that think, learn, and adapt.

 Cloud that scales with the tide.
 AI that turns possibility into performance.
 Applications where intelligence meets design.
 Applications that shine—intelligence by design.

AI is shifting from “neat demo” to hard ROI—and the data keeps stacking up.
 
In OT/industrial security, teams are transitioning from alert fatigue to answer engines, allowing analysts to focus on decision-making rather than dashboard monitoring. 

Customer experience is converging on a common ground: people + bots, not people vs. bots. New research in financial services shows AI assistants are boosting service outcomes while keeping humans in the loop where it matters.

But scale brings governance headaches. OpenAI’s Sora hit 1M downloads fast—alongside a scramble to curb AI “doubles” and restore provenance. The message is that velocity without guardrails creates downstream costs.

Meanwhile, crypto reminded everyone of the impact macroeconomic factors can have. Friday’s tariff shock triggered a flash crash: ~$7B+ liquidations at the lows with ETH leading wipeouts, and analysts now debating a slow bottoming vs. a V-reversal. Builders will keep building, but risk management is back on the front page.

Zoom out: real value is coming from workflow redesign—point AI at concrete problems, wrap it in controls, and measure the lift. 

What process would you refactor first?

#AI #Automation #CustomerExperience #Security #Crypto #RiskManagement #Darkseas.ai

Southern Utah, who’s getting out this week? 🐙 

Here are a few can’t-miss picks around St. George (Oct 14–19):

Huntsman World Senior Games are in full swing—35 sports in motion and a community Concert & Celebration tonight (Tue 10/14). 🏃‍♂️ 🥈  

Nighttime fall vibes at Staheli Family Farm: corn maze, pumpkins, and Haunted House on Saturday. 🚜 

Broadway under the stars with The Wizard of Oz at Tuacahn (final weeks). 🪗 

Downtown Farmers Market on Saturday morning—load up on local produce, bakes, and live music. 🥕 

If you’re heading to any of these, drop your tips in the comments (parking hacks, best food stands, favorite seats). 

See you out there, Southern Utah!

 #StGeorge #GreaterZion #SouthernUtah #WeekendPlans #SupportLocal

AI is moving from demo to dollars; crypto is healing after the flush. 🐙 

• Exec playbook (today): the AI gap isn’t models—it’s messy data and weak integration. Fix pipelines, wire AI into real workflows, measure lift. 📚 

• Product mindset: agentic AI ups the stakes—governance, testing, and human-in-the-loop aren’t “nice to have,” they’re the roadmap. 🛣️ 

• Market tape: BTC sits near ~$112K as traders stay defensive; options skew and desk notes still lean cautious. Position sizing > predictions. 🪙 

• Flows & structure: spot BTC/ETH ETFs swung back to net inflows, and post-liquidation plumbing looks sturdier—good sign, even if chop continues. 💱 

Bottom line: ship AI where clean data + clear ownership translate to P&L, and run crypto like a program—rules, hedges, reviews. 🏆 

#AI #DataStrategy #Automation #AgenticAI #Crypto #RiskManagement #DarkSeasAI

This explosive growth hasn't been accompanied by governance. Instead, the vast majority of AI sessions happen outside enterprise control. 67% of AI usage occurs through unmanaged personal accounts, leaving CISOs blind to who is using what, and what data is flowing where.

thehackernews.com

New Research: AI Is Already the #1 Data Exfiltration Channel in the Enterprise

AI is scaling; crypto is stabilizing—and the signals rhyme.

• Miners pivot to AI/HPC: CleanSpark just stood up an AI data-centers unit, and the stock jumped ~12%. Compute demand is pulling crypto infra into mainstream workloads.

• Policy + product tailwinds: BlackRock is rolling out a bitcoin-linked ETP in the UK—another on-ramp for regulated demand.

• Tape check: BTC and ETH bounced (~$110k / ~$4k) as markets recover from the tariff shock; breadth is greener but flows still choppy—manage risk, don’t predict it.

• Exec takeaway for AI teams: today’s operator playbooks stress reliability and integration over raw model hype—governance + latency wins beat vanity benchmarks.

Bottom line: point AI at measurable workflows (faster answers, lower unit cost), and treat crypto exposure like a program—rules, hedges, reviews. What would you refactor first before Q4 wraps?

#AI #HPC #DataCenters #Automation #Crypto #RiskManagement #DarkSeasAI

Amazon Web Services (AWS) outage today (Oct 20, 2025)

🔍 Timeline
~ 03:11 a.m. ET: AWS reports first signs of trouble in the US-EAST-1 (Northern Virginia) region: “increased error rates and latencies for multiple AWS Services.” 

~ 03:11-04:00 a.m. ET: User reports spike globally — major platforms (social, gaming, finance) start showing downtime or degraded performance.

~ 06:35 a.m. ET: AWS says the underlying cause has been “fully mitigated” and many services are recovering.

Post-6:35 a.m.: Some residual impacts remain (latency, API errors) especially in services dependent on the impacted region’s infrastructure.

📋 Key Impacts
Major apps and platforms affected: Snapchat, Fortnite, Signal, Robinhood, Duolingo, Canva and others.

AWS services affected: Amazon DynamoDB endpoint showed high error rates; cascade to DNS, API, support case creation, and satellite services.

Geographic scope: The issue originated in US-EAST-1 but had global ripple effects (Europe, Asia, UK banks, telecoms).

🧩 What to tell stakeholders

Root region at fault: If you use US-EAST-1 (or services reliant on that zone), treat it as a reminder: regional failure can cascade globally.

Service dependency chain: When one endpoint (DynamoDB) fails, many downstream services/applications suffer — so monitor not just services you run, but services you depend on.

Resilience test: This was a “real-world” stress test. Even if you weren’t down, did you detect increased latency or errors?

Communication & transparency: For users/clients, transparency around time-to-recovery matters — this incident lasted ~3–4 hours at full severity.

Future proofing: Think multi-region fallback, service diversity (not relying on single cloud region or single cloud provider), and clear incident-response playbooks.

#DarkSeasAI

AI x Crypto: Monday Movers & Signals (10/13)

Big swing day across both stacks:

AI: OpenAI just inked a multiyear pact with Broadcom to co-design custom AI chips—aimed at ~10GW of new data-center capacity. Translation: less reliance on Nvidia, tighter vertical integration, and a faster path to scaling GPT-class systems.

Crypto: After Friday’s $500B “flash crash,” markets are stabilizing, but risk lights are still blinking. Post-mortems point to thin liquidity, cascading liquidations, and venue-specific distortions—while some players went shopping the dip (e.g., a major ETH treasury add). Also notable: court-cleared restructuring paves the way for WazirX to reopen. 

Why it matters:

 • Custom silicon = cost control + throughput = faster model cadence.

 • Markets remain reflexive: structure and plumbing matter + narratives.

 • Flight to quality continues—infra, liquidity, and compliance win cycles.

If you’re building this week: pressure-test your AI infra assumptions (capacity, latency, cost curves) and your crypto risk rails (venue exposure, liquidation thresholds, stablecoin behavior).

What are you watching—AI supply chains or crypto market structure (or both)?👇

AI is scaling up; crypto is recalibrating: 🐙 

• Broadcom dropped “Thor Ultra,” a next-gen networking chip built to wire AI clusters across hundreds of thousands of accelerators—another shot across Nvidia’s bow.

• Boardrooms are pushing for proof, not poetry: fresh leadership takes say the wins come when human judgment + AI are fused into workflows that show measurable lift.

• Meanwhile, sentiment checks remind us to mind the gap between hype and value—useful guardrails when you’re budgeting 2026 AI spend. 

• Crypto steadied near the $111k area after last week’s whipsaw; derivatives and bank notes flag chop ahead—position sizing matters. 

Bottom line: invest in AI where faster networks + tighter ops translate into P&L impact—and treat crypto risk like weather: forecast, hedge, execute.

#AI #DataCenters #Automation #Leadership #Crypto #RiskManagement
#DarkSeas.ai

Last week at DarkSeas.ai, We connected with a founder who was struggling with repetitive tasks, including manual reporting, ticket triage, and "copy-paste" workflows that consumed valuable time. Together, we mapped out their processes, trained lightweight agents, and integrated automation into their system. By Friday, tasks that used to take hours were completed in just minutes, allowing the team to shift their focus from busywork to making a meaningful impact.

In addition to increasing efficiency, we ensured that compliance requirements were seamlessly integrated into the automated workflows. This not only streamlined their operations but also reduced the risk of errors and ensured adherence to regulatory standards.

This is the work I love—adding real value and reducing effort through practical AI automation. I'm naturally someone who likes to move quickly: ship fast, measure the results, and iterate. If you have a workflow that’s slowing you down, DarkSeas AI can help transform it into a streamlined and compliant process.

#AI #Automation #Operations #Compliance #SaaS #Productivity #DarkSeasAI

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