Hyatt

At Hyatt, I lead multiple global engineering teams responsible for hotel front desk and call center applications. I focus on  application modernization initiatives, new product development, digital transformation, AI enablement, internationalization, cloud migration, modernization, and enhancements to improve efficiency, scalability, and cost savings.

I collaborate closely with senior leadership, product management, design, QA, infrastructure, cross-functional peers and business stakeholders to align engineering initiatives with business objectives and drive strategic priorities, supporting $3B+ in annual revenue. 

Key contributions:
▪Managing the transition to an always-on product delivery model, improving development efficiency and responsiveness to business needs.
▪Supporting resource management and forecasting efforts, helping improve visibility into resource allocation and financial planning.
▪Providing mentorship and guidance to engineering managers and direct reports, fostering collaboration, process improvement, and technical excellence.
▪Own or participate in steering committees, contributing to discussions on software development strategy, AI enablement, cloud migration, and operational improvements.

Senior Engineering Leader - Global Digital Product Engineering

The New York Times

At The New York Times, I steered three dispersed engineering teams, integrating cloud-native messaging systems with strategic company vision as it related to personalization of emails and newsletters, digital transformation, CMS enhancements, AI tools adoption, mobile push notifications, and more.

In this role, I worked closely with product and program managers, design, frontend/backend/fullstack, testing, data science, site reliability, devops, infrastructure, platform, and IAM teams, as well as business units, including direct interaction with the newsroom.

My focus was on strategic leadership, planning, and team development, ensuring alignment of our tech initiatives with business goals.

I fostered an environment of continuous growth and innovation, prioritizing agile methodologies and collaborative cross-functional teamwork to drive both team success and impactful technological advancements.

Senior Engineering Leader

Datalogics Inc.

At Datalogics, I provided pivotal strategic leadership, overseeing a team instrumental in driving company revenue and growth, constituting a significant portion of the engineering department.

I managed the full product development lifecycle, from inception to production, including focusing on cloud-native solutions and APIs. 

My team consisted of diverse roles such as Software Engineers, Senior Software Architects, Staff Engineers, Principal Engineer, Technical Writer, and Release/DevOps Engineers. 

I emphasized strategic management of production releases and a culture of technical excellence, mentoring the team to drive continuous innovation and operational efficiency.

Software Engineering Manager

Blue Cross and Blue Shield of Illinois, Montana, New Mexico, Oklahoma & Texas

At Blue Cross Blue Shield (HCSC), I led multiple initiatives, including a pivotal SaaS solution for data visualization and a comprehensive Hadoop data lake project, collaborating effectively with a cross-functional team of over 50 professionals.

Google

At Google, I managed a business critical process program, coordinating a global team of over 60 stakeholders from Partner and Customer Engineering across multiple regions, streamlining operations and enhancing customer engagement.

Senior Global Program Manager

Herzum

At Herzum, I provided adept leadership to a global team of software professionals in developing and supporting in-house and Atlassian applications. 

My responsibilities included managing a diverse project portfolio, overseeing the entire development lifecycle, and executing strategic planning for SaaS application integration and customization. 

This role highlighted my expertise in team leadership, budget management, and stakeholder communication, driving key software initiatives across various technical domains.

Senior Software Engineering Manager

DirectBuy

Composites One

Software Engineering Director

JP Morgan Chase

Associate Vice President – Applications Development Manager

Broder Bros., Co.

Strategic Leader in Software Engineering🔹Driving Digital Transformation and Team Development through Visionary Innovation

Visionary technology leader with a track record of driving digital transformation and business growth at scale. 

I specialize in architecting and executing enterprise technology strategies that accelerate innovation, optimize operations, and deliver measurable impact across global organizations.

As a champion of high-performance cultures, I build and empower diverse engineering teams—aligning talent development with organizational vision and fostering environments where creativity, inclusion, and accountability thrive. 

My leadership is rooted in strategic partnership, bridging the gap between technology and business to unlock new opportunities, elevate customer experiences, and achieve ambitious goals.

I am passionate about harnessing emerging technologies—including AI and Cloud platforms—to solve complex challenges and future-proof organizations. My approach combines data-driven decision-making, agile methodologies, and a relentless focus on results.

Key strengths include:
▪Leading digital transformation initiatives that deliver quantifiable business value
▪Scaling and mentoring cross-functional teams  to exceed performance targets
▪Translating business objectives into actionable technology roadmaps
▪Cultivating a culture of continuous learning, innovation, and operational excellence

A technology leader who delivers strategic vision, operational rigor, and lasting impact at the intersection of people, process, and technology.

𝐁𝐫𝐢𝐝𝐠𝐢𝐧𝐠 𝐭𝐡𝐞 𝐆𝐚𝐩𝐬: 𝐓𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐚𝐧𝐝 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐨𝐟 𝐏𝐋𝐌, 𝐌𝐄𝐒, 𝐄𝐑𝐏 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧
In today’s fast-paced manufacturing landscape across industries like automotive, aerospace, electronics, and consumer goods, integrating #PLM (Product Lifecycle Management), #MES (Manufacturing Execution Systems), and #ERP (Enterprise Resource Planning) is the backbone of operational excellence.

👉 𝐇𝐨𝐰 𝐈𝐭 𝐖𝐨𝐫𝐤𝐬
▪#PLM manages a product’s lifecycle from design, engineering changes to quality planning.
▪#MES executes and monitors manufacturing on the shop floor in real time, ensuring production aligns with specifications.
▪#ERP oversees business processes such as inventory, procurement, finance, and resource planning.

Together, these systems form a closed-loop digital thread that enables seamless data flow from product conception through manufacturing to final delivery. 

Bi-directional interfaces between PLM, MES, and ERP synchronize product data, production status, and resource information, creating agility, reducing errors, and enhancing decision-making.

👉 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬
▪Real-time visibility and control over production and supply chain
▪Shortened product development and manufacturing cycles
▪Improved manufacturing quality with immediate feedback loops
▪Enhanced collaboration across engineering, operations, and business functions
▪Foundation for digital transformation and smart factories

👉 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬
▪Complex integration requiring well-defined interfaces and data governance
▪Synchronizing diverse data formats and business processes across systems
▪Initial investment in integration platforms and training
▪Ongoing maintenance to adapt to evolving business needs

For industries striving for lean manufacturing and Industry 4.0 readiness, integrating PLM, MES, and ERP is not just a tech upgrade but a strategic necessity. 

It connects teams and processes end-to-end, driving innovation, operational efficiency, and better customer outcomes.

𝐒𝐨𝐮𝐫𝐜𝐞/𝐂𝐫𝐞𝐝𝐢𝐭: https://lnkd.in/gQmiAbuf 

#AI #AgenticAI #DigitalTransformation #GenerativeAI #GenAI #Innovation 
#ArtificialIntelligence #ML #ThoughtLeadership #NiteshRastogiInsights

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Strategic Leader in Software Engineering🔹Driving Digital Transformation and Team Development through Visionary Innovation 🔹 AI Enthusiast

𝟒 𝐂𝐫𝐮𝐜𝐢𝐚𝐥 𝐀𝐈 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟓
Artificial intelligence is transforming economies worldwide—from automating everyday digital tasks to enabling groundbreaking medical procedures. 

For investors, understanding the evolving AI landscape is essential to identifying where real value lies. 

Here are four critical insights to guide investment decisions in 2025, based on analysis from Visual Capitalist and New York Life Investments:

🔹𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐭𝐨 𝐖𝐚𝐭𝐜𝐡

𝟏. 𝐋𝐞𝐚𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐀𝐈 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐑𝐚𝐜𝐞
 ▪While hundreds of AI models exist globally, a handful of companies are driving the bulk of real-world AI deployment. 
▪Google leads with 𝟏𝟖 large-scale AI models, followed by Meta Platforms with 𝟏𝟒 and OpenAI with 𝟏𝟎 models, including ChatGPT. 
▪These leaders invest billions annually in R&D, setting the pace for AI breakthroughs worldwide.

𝟐. 𝐀𝐈 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐚𝐭 𝐚 𝐆𝐥𝐨𝐛𝐚𝐥 𝐒𝐜𝐚𝐥𝐞
 ▪In 2024, global AI investment rebounded to $𝟐𝟓𝟐 billion after market slowdowns, fueled by venture capital, corporate spending, and government initiatives. ▪Although below the $𝟑𝟔𝟏 billion 2021 peak, renewed momentum—especially in the U.S. and Europe—is accelerating AI adoption in sectors like healthcare, manufacturing, and finance.

𝟑. 𝐒𝐮𝐫𝐠𝐢𝐧𝐠 𝐄𝐧𝐞𝐫𝐠𝐲 𝐃𝐞𝐦𝐚𝐧𝐝 𝐅𝐮𝐞𝐥𝐞𝐝 𝐛𝐲 𝐀𝐈
 ▪AI is rapidly increasing electricity consumption, with data centers powering these workloads projected to nearly triple their capacity demands by 2030. 
▪Already, AI-related power usage in U.S. data centers jumped to 𝟒.𝟑% in 2024 and is expected to reach 𝟓.𝟐% this year—straining grids and driving investment in energy, cooling, and data infrastructure solutions.

𝟒. 𝐃𝐚𝐭𝐚 𝐂𝐞𝐧𝐭𝐞𝐫 𝐑𝐄𝐈𝐓𝐬 𝐎𝐮𝐭𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐁𝐫𝐨𝐚𝐝 𝐑𝐞𝐚𝐥 𝐄𝐬𝐭𝐚𝐭𝐞
 ▪Data center Real Estate Investment Trusts (REITs) surged 𝟐𝟓.𝟐%% in 2024, dramatically outperforming the broader FTSE Nareit All Equity REITs average gain of 𝟒.𝟗%. 
▪Fueled by demand from hyperscalers, cloud providers, and AI companies, these REITs have become a vital investment theme in the digital economy.

Artificial intelligence is more than a technology trend—it's reshaping infrastructure, enterprise transformation, and energy markets globally. Investors who grasp these fundamental shifts and move early can capitalize on the lasting economic changes AI is driving. 

𝐒𝐨𝐮𝐫𝐜𝐞/𝐂𝐫𝐞𝐝𝐢𝐭: https://lnkd.in/gEUGPP96

#AI #AgenticAI #DigitalTransformation #GenerativeAI #GenAI #Innovation 
#ArtificialIntelligence #ML #ThoughtLeadership #NiteshRastogiInsights 
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• Please 𝐋𝐢𝐤𝐞, 𝐒𝐡𝐚𝐫𝐞, 𝐂𝐨𝐦𝐦𝐞𝐧𝐭, 𝐒𝐚𝐯𝐞, 𝐅𝐨𝐥𝐥𝐨𝐰 https://lnkd.in/gUeJrb63

4 Crucial Investment Insights

𝟖,𝟓𝟎𝟎 𝐑𝐞𝐚𝐬𝐨𝐧𝐬 𝐭𝐨 𝐁𝐞 𝐓𝐡𝐚𝐧𝐤𝐟𝐮𝐥 𝐓𝐡𝐢𝐬 𝐓𝐡𝐚𝐧𝐤𝐬𝐠𝐢𝐯𝐢𝐧𝐠
Grateful for the LinkedIn community today and every day. This #Thanksgiving comes with a special milestone: 8,500 meaningful connections here on LinkedIn.

Thank you to everyone who has:
▪Trusted enough to connect, collaborate, and share ideas.
▪Challenged assumptions with thoughtful questions and comments.
▪Opened doors to conversations about leadership, AI, and digital transformation.

In a world that moves fast, this network is a reminder that real progress is built on relationships, not algorithms. Wishing a warm, peaceful, and reflective 

Thanksgiving to all who celebrate, and a restful, energizing week ahead to everyone across this global community. 

Happy Thanksgiving 🍁 — and here’s to learning, growing, and building what’s next together. 

#AI #AgenticAI #DigitalTransformation #GenerativeAI #GenAI #Innovation 
#ArtificialIntelligence #ML #ThoughtLeadership #NiteshRastogiInsights 
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• Please 𝐋𝐢𝐤𝐞, 𝐒𝐡𝐚𝐫𝐞, 𝐂𝐨𝐦𝐦𝐞𝐧𝐭, 𝐒𝐚𝐯𝐞, 𝐅𝐨𝐥𝐥𝐨𝐰 https://lnkd.in/gUeJrb63

𝐖𝐡𝐲 𝐀𝐈-𝐂𝐫𝐞𝐚𝐭𝐞𝐝 “𝐖𝐨𝐫𝐤𝐬𝐥𝐨𝐩” 𝐇𝐮𝐫𝐭𝐬 𝐌𝐨𝐫𝐞 𝐓𝐡𝐚𝐧 𝐈𝐭 𝐇𝐞𝐥𝐩𝐬
Generative AI is revolutionizing how we work, making it easier than ever to produce polished reports, slides, and code quickly. 

A recent cartoon by Tom Fishburne, along with research from BetterUp Labs and Stanford Social Media Lab in HBR, puts the spotlight on a new phenomenon: “workslop”—the shiny, fast, AI-generated content that looks good on the surface but often lacks the true insight or substance needed to move projects forward.

🔹𝐖𝐡𝐚𝐭 𝐢𝐬 𝐖𝐨𝐫𝐤𝐬𝐥𝐨𝐩?
 ▪AI-generated content that masquerades as high-quality work but actually misses crucial context and depth, creating more work for the receiver to fix or interpret.

🔹𝐏𝐫𝐞𝐯𝐚𝐥𝐞𝐧𝐜𝐞
 ▪𝟒𝟎% of US employees report having received #workslop in the last month. 
▪About 𝟏𝟓% of work-related AI output these employees receive qualifies as workslop.

🔹𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐈𝐦𝐩𝐚𝐜𝐭
▪On average, employees spend nearly 𝟐 𝐡𝐨𝐮𝐫𝐬 dealing with each workslop incident, costing roughly $𝟏𝟖𝟔 𝐩𝐞𝐫 𝐦𝐨𝐧𝐭𝐡 𝐩𝐞𝐫 𝐞𝐦𝐩𝐥𝐨𝐲𝐞𝐞 in lost productivity. 
▪For a company with 𝟏𝟎,𝟎𝟎𝟎 employees, that adds up to over $𝟗 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 annually.

🔹𝐈𝐧𝐭𝐞𝐫𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥 𝐄𝐟𝐟𝐞𝐜𝐭𝐬
 ▪Workslop damages trust and perceptions of competence. 
▪Colleagues seen as sending workslop are perceived as less creative, capable, reliable, and trustworthy, threatening collaboration and team dynamics.

🔹𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐈𝐧𝐬𝐢𝐠𝐡𝐭
 ▪Encouraging indiscriminate AI use ("𝐀𝐈 𝐞𝐯𝐞𝐫𝐲𝐰𝐡𝐞𝐫𝐞 𝐚𝐥𝐥 𝐭𝐡𝐞 𝐭𝐢𝐦𝐞") actually fosters indiscriminate usage, increasing workslop. 
▪Leaders must model discernment, promote collaboration, and treat AI as an instrument requiring skill and thoughtful use, not just a tool for automation.

 AI productivity gains come with hidden costs if we don’t use the technology wisely. 

Let’s not aim for “AI everywhere for everything.” Instead, let’s advocate for thoughtful, context-driven use of these powerful instruments—so better machines help create better humans, not just more output. 

Organizations must focus on thoughtful AI adoption, emphasizing quality, context, and collaboration to avoid the "workslop tax”. 

Happy #Saturday! Wishing you all a wonderful #weekend! 

𝐒𝐨𝐮𝐫𝐜𝐞/𝐂𝐫𝐞𝐝𝐢𝐭: https://lnkd.in/gyenUW5a

#AI #AgenticAI #DigitalTransformation #GenerativeAI #GenAI #Innovation 
#ArtificialIntelligence #ML #ThoughtLeadership #NiteshRastogiInsights

𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐰𝐢𝐭𝐡 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐍𝐞𝐱𝐭 𝐁𝐞𝐬𝐭 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞
Delivering personalized, timely customer experiences is critical in today’s market. According to #McKinsey, the next best experience engine uses advanced AI and existing technology ecosystems to anticipate and meet individual customer needs, driving engagement, loyalty, and growth.

🔹𝐁𝐮𝐢𝐥𝐭 𝐨𝐧 𝐄𝐱𝐢𝐬𝐭𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲
 ▪Organizations can leverage their current tech infrastructure—cloud, enabling technologies, foundation models, and generative AI—to build scalable next best experience engines without costly overhauls.

🔹𝐅𝐨𝐮𝐫 𝐊𝐞𝐲 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬
𝟏. 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠
▪Centralized and unified data lakes aggregate diverse customer data streams, laying the groundwork for actionable insights.

𝟐. 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬
▪Predictive models analyze customer behaviors using three core types: #propensity models (predict likelihood to churn, upgrade, or respond), #channel #effectiveness models (identify most impactful communication channel such as email, SMS, voice), and #value models (estimate customer lifetime value and revenue opportunities). 
▪These are orchestrated through a decision layer that balances statistical predictions with real-world business logic.

𝟑. 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈
▪Gen AI powers hyper-personalized content and recommendations, dynamically tailoring messages to fit individual customer preferences and contexts, at scale.

𝟒. 𝐂𝐚𝐦𝐩𝐚𝐢𝐠𝐧 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦
▪This platform operationalizes AI insights by automating outreach across multiple channels—including mobile push, CRM, call centers—ensuring timely and relevant communication. 
▪It also supports real-time AI recommendations for human agents, enabling smarter interactions.

🔹𝐌𝐞𝐚𝐬𝐮𝐫𝐚𝐛𝐥𝐞 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬
 ▪Companies adopting these engines see customer satisfaction rise by 𝟏𝟓-𝟐𝟎%, revenue grow 𝟓-𝟖%, and service costs fall 𝟐𝟎-𝟑𝟎%.
▪These engines help move from episodic, uncoordinated touches to a seamless, orchestrated customer journey, which enhances loyalty and lifetime value.

🔹𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐮𝐜𝐜𝐞𝐬𝐬
 ▪Real impact comes from embedding AI insights into daily workflows and frontline processes, earning user trust, and enabling teams to act swiftly on recommendations.

 Next best experience engines are transforming customer engagement from reactive to proactive through AI-powered personalization. 

Businesses ready to innovate with this approach can unlock stronger customer loyalty and sustained growth in an increasingly digital world.

𝐒𝐨𝐮𝐫𝐜𝐞/𝐂𝐫𝐞𝐝𝐢𝐭: https://lnkd.in/grHYMxPM

#AI #AgenticAI #DigitalTransformation #GenerativeAI #GenAI #Innovation 
#ArtificialIntelligence #ML #ThoughtLeadership #NiteshRastogiInsights

𝐂𝐮𝐫𝐢𝐨𝐬𝐢𝐭𝐲 𝐚𝐧𝐝 𝐂𝐨𝐮𝐫𝐚𝐠𝐞: 𝐓𝐰𝐢𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐬 𝐨𝐟 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧
Digital transformation is not simply a checklist of technological implementations but a profound journey defined by relentless curiosity, where the willingness to constantly explore unfamiliar territory leads to new ideas and breakthroughs. 

It is fueled by bold experiments that challenge established norms and invite innovation, serving as vital catalysts for uncovering novel solutions amid uncertainty. 

Along this journey, the courage to learn from failure becomes indispensable, as setbacks are not endpoints but critical lessons that sharpen strategies and strengthen resilience. 

When organizations embrace this mindset, continuous evolution becomes ingrained in their culture, enabling them to thrive in the midst of rapid change and complexity. 

Ultimately, true digital transformation is realized when visionary leadership fosters an environment where curiosity, risk-taking, and learning from adversity create sustainable growth and meaningful impact.

Wishing everyone a wonderful #Sunday.

#AI #AgenticAI #DigitalTransformation #GenerativeAI #GenAI #Innovation 
#ArtificialIntelligence #ML #ThoughtLeadership #NiteshRastogiInsights

𝐇𝐨𝐧𝐨𝐫𝐢𝐧𝐠 𝐕𝐞𝐭𝐞𝐫𝐚𝐧𝐬 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐓𝐡𝐚𝐭 𝐏𝐨𝐰𝐞𝐫𝐬 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧
On this Veterans Day, we honor the leadership and dedication of those who have served — qualities that deeply inspire and inform the digital transformation journeys many organizations undertake today.

🔹𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐋𝐞𝐠𝐚𝐜𝐲
▪#Veterans exemplify steadfast commitment, integrity, and strategic foresight. 
▪▪These traits are essential for navigating the complexities of digital transformation initiatives.

▪Their experiences leading diverse, mission-focused teams develop skills in crisis management and rapid decision-making.
▪▪Such decisiveness is crucial when adopting new technologies and processes.

▪Veterans foster cultures of trust, accountability, and empowerment.
▪▪These cultural pillars enable innovation and continuous improvement within organizations.

🔹𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐈𝐦𝐩𝐞𝐫𝐚𝐭𝐢𝐯𝐞
▪Organizations embracing digital transformation achieve up to a 70% increase in customer satisfaction and reduce time to market by 50%.
▪▪Digital agility, reminiscent of a veteran's adaptability, accelerates innovation cycles.

▪Leveraging data analytics and cloud technologies transforms business models and operational efficiency.
▪▪This parallels veterans’ use of intelligence and resources to optimize mission outcomes.

▪Cross-functional collaboration is key.
▪▪Digital transformation demands breaking silos—something veterans accomplish routinely through joint operations and teamwork.

🔹𝐕𝐞𝐭𝐞𝐫𝐚𝐧 𝐓𝐚𝐥𝐞𝐧𝐭 𝐈𝐦𝐩𝐚𝐜𝐭
▪Veterans bring a unique combination of technical expertise, leadership experience, and a mission-first mindset.
▪▪This blend helps organizations accelerate digital initiatives while maintaining focus on strategic objectives.

▪Their adaptability and resilience support rapid change management and continuous learning.
▪▪This quality helps teams pivot efficiently amidst evolving business and technology landscapes.

▪Companies with veteran hiring programs report improved innovation, employee engagement, and organizational resilience.
▪▪Veteran talent promotes diversity of thought and problem-solving approaches critical for digital success.

As we honor our veterans today, let's reflect on how their leadership spirit continues to inspire transformative progress across industries. 

Their service not only secures our freedoms but also lights the path toward future-ready organizations.

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𝐍𝐨𝐛𝐞𝐥 𝐋𝐚𝐮𝐫𝐞𝐚𝐭𝐞𝐬 𝐚𝐧𝐝 𝐆𝐥𝐨𝐛𝐚𝐥 𝐋𝐞𝐚𝐝𝐞𝐫𝐬 𝐔𝐧𝐢𝐭𝐞 𝐭𝐨 𝐃𝐞𝐟𝐢𝐧𝐞 𝐀𝐈 “𝐑𝐞𝐝 𝐋𝐢𝐧𝐞𝐬”
The UN General Assembly recently opened with a powerful and urgent appeal for binding international regulations on artificial intelligence, underscoring the unprecedented risks AI poses to humanity. 

Over 200 leading politicians, scientists, and 10 Nobel Prize winners united to call for clear and enforceable "red lines" on dangerous AI applications to protect our future.

🔹𝐊𝐞𝐲 𝐏𝐨𝐢𝐧𝐭𝐬

▪𝐆𝐥𝐨𝐛𝐚𝐥 𝐀𝐩𝐩𝐞𝐚𝐥: More than 200 politicians and scientists, including Nobel laureates from diverse fields, issued an open letter demanding enforceable AI safeguards at the international level.

▪𝐔𝐫𝐠𝐞𝐧𝐜𝐲: The letter calls for an international accord with clear, verifiable boundaries on AI use by the end of 2026, reflecting rapid advancements in AI technologies.

▪𝐏𝐫𝐨𝐩𝐨𝐬𝐞𝐝 𝐑𝐞𝐝 𝐋𝐢𝐧𝐞𝐬: Suggested restrictions include banning lethal autonomous weapons, preventing autonomous AI self-replication, and prohibiting AI applications in nuclear warfare.

▪𝐇𝐮𝐦𝐚𝐧-𝐂𝐞𝐧𝐭𝐫𝐢𝐜 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡: Nobel laureates like Yuval Noah Harari emphasize the need to establish boundaries before AI undermines humanity's core values.

▪𝐏𝐚𝐬𝐭 𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐞𝐬: This initiative draws inspiration from previous international agreements on biological weapons and ozone-depleting substances as successful models.

▪𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐯𝐞 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞: The letter highlights that government representatives and scientists must collaborate globally to determine consensus on AI boundaries.

▪𝐆𝐫𝐨𝐰𝐢𝐧𝐠 𝐂𝐨𝐧𝐜𝐞𝐫𝐧𝐬: Recent headlines link AI to mass surveillance, misinformation, and potential threats to human rights and employment—examples of why safeguards are critical.

▪𝐔𝐍’𝐬 𝐑𝐨𝐥𝐞: The UN General Assembly has endorsed a resolution to establish new global AI governance bodies, marking a significant step toward international cooperation on AI risks and benefits. 

▪𝐆𝐥𝐨𝐛𝐚𝐥 𝐃𝐢𝐚𝐥𝐨𝐠𝐮𝐞: The UN is launching a series of global dialogues on AI governance, with follow-up sessions planned for 2026 and 2027 to address social, economic, ethical, and technical dimensions. 

𝐍𝐨𝐭𝐚𝐛𝐥𝐞 𝐒𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭
 Ah Üzmcü, Nobel Peace Prize laureate, said, "It is in our vital common interest to avert AI from causing severe and possibly irreversible harm to humanity, and we must act accordingly."

As AI technology accelerates, it's clear that ethical and enforceable frameworks cannot be an afterthought. The global community must unite to shape the future of AI with safety, security, and humanity at its core. This call for binding "red lines" is a vital step toward that shared responsibility.

𝐒𝐨𝐮𝐫𝐜𝐞/𝐂𝐫𝐞𝐝𝐢𝐭: https://lnkd.in/gp5ATSG5 

#AI #AgenticAI #DigitalTransformation #GenerativeAI #GenAI #Innovation 
#ArtificialIntelligence #ML #ThoughtLeadership #NiteshRastogiInsights

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