Techaisle Blog

Rodney Clark, SVP of Partnerships and Small & Medium Business, Cisco, and Elisabeth De Dobbeleer, SVP of Cisco Partner Program, Cisco are on a mission. At the recently concluded Cisco Partner Summit 2024, Cisco unveiled its new partner program, the Cisco 360 Partner Program, which aims to redefine how partner value is recognized and rewarded. This program fosters shared success, enhances partner profitability, and simplifies the partner experience. Cisco is streamlining its partner structure by transitioning from four roles (Integrator, Provider, Advisor, and Developer) to two main tiers: Cisco Partner and Cisco Preferred Partner. This change is not due to a lack of recognition of partners' diverse roles or a disregard for the ecosystem. On the contrary, Cisco is enhancing its focus on the ecosystem, acknowledging that partners can fulfill multiple roles. This simplified structure allows partners to achieve the Preferred Partner status through a value index that recognizes metrics spanning various business models.

Cisco currently boasts a best-in-industry partner program, recognized for its strong market presence, trust, and reliability. However, the program's complexity and operational challenges are hindering its effectiveness. The multifaceted benefits, while encouraging partner adoption, can take time to manage and track. As Cisco looks to evolve its partner program, it focuses on simplifying the process and shifting towards outcome-based metrics. By focusing on profitability and operational efficiency, Cisco aims to ease the transition for partners and ensure a smooth evolution of the program.

Generative AI is revolutionizing how businesses operate, offering unprecedented opportunities for innovation and efficiency. As per Techaisle’s research of 2400 businesses, 94% are expected to use GenAI within the next 12 months. Amazon Web Services (AWS) is at the forefront of this transformation, guiding business leaders through the adoption and implementation of generative AI technologies. AWS emphasizes the importance of understanding the potential of generative AI and identifying relevant use cases that can drive significant business value. By leveraging tools such as Amazon Bedrock, AWS Trainium, and AWS Inferentia, businesses can build and scale generative AI applications tailored to their specific needs. These tools provide the necessary infrastructure and performance to handle large-scale AI workloads, ensuring businesses can achieve their goals effectively. Moreover, AWS highlights the critical role of high-quality data in the success of generative AI projects. A robust data strategy, encompassing data versioning, lineage, and governance, is essential for maintaining data quality and consistency, enhancing model performance and accuracy. Additionally, AWS advocates responsible AI development, emphasizing the need for ethical considerations and risk management. Businesses can establish clear guidelines and safeguards to ensure their AI initiatives are innovative and responsible. Real-world success stories, such as those of Adidas and Merck, demonstrate the tangible benefits of generative AI, from personalized customer experiences to improved manufacturing processes. As businesses continue to explore and implement generative AI, they must prioritize adaptability, continuous learning, and a commitment to ethical practices to fully harness this technology's transformative power. AWS is taking a pivotal role in guiding businesses through the adoption and implementation of generative AI by encouraging business leaders to consider the possibilities if limitations were removed.

AWS’ Roadmap for Generative AI Success

Despite widespread GenAI adoption plans, Techaisle found that 50% of businesses struggle to define an AI-first strategy. Most businesses, from small to large corporations, struggle to define specific GenAI implementation strategies. This is particularly evident among small businesses (81%), midmarket firms (45%), and enterprises (41%). As Tom Godden, AWS Enterprise Strategist, said, “The question on every CEO’s mind is ‘What is our generative AI strategy?” To facilitate this journey, AWS outlines a clear roadmap encompassing several key stages: Learn, Build, Establish, Lead, and Act.

In the Learn phase, AWS recommends understanding the possibilities of generative AI and identifying relevant use cases. They offer resources like the AI Use Case Explorer, which provides practical guidance and real-world examples of successful implementations. Moving to the Build stage, AWS stresses the importance of effectively choosing the right tools and scaling. They provide a range of infrastructure and tools, including Amazon Bedrock, AWS Trainium and AWS Inferentia, Amazon EC2 UltraClusters, and SageMaker. These tools help businesses balance accuracy, performance, and cost while developing and scaling generative AI applications.

The Establish phase centers around data, a crucial component for successful generative AI implementation. AWS highlights the need for a robust data strategy that includes data versioning, documentation, lineage, cleaning, collection, annotation, and ontology. This ensures data quality and consistency, which is essential for optimal model training. In the Lead stage, AWS emphasizes the importance of humanizing work and using generative AI to empower employees rather than replace them. They recommend redesigning workflows to leverage AI effectively, adopting successful AI governance models, and preparing the workforce for new roles through upskilling and reskilling.

Finally, the Act phase focuses on building and implementing a responsible AI program to ensure generative AI's ethical and safe use. AWS advises proactively addressing potential risks and challenges, establishing clear risk assessment frameworks, and implementing controls and safeguards to prevent misuse. They also emphasize the importance of providing training and resources to ensure security and compliance teams are confident in the organization's AI practices.

AWS provides a comprehensive approach to guiding businesses through the adoption and implementation of generative AI. AWS helps leaders navigate this transformative technology and unlock its immense potential by offering a clear framework, practical tools, and real-world examples.

Amazon Bedrock: A Comprehensive Platform for Generative AI

Building upon this foundation, Amazon Bedrock emerges as a pivotal tool for businesses seeking to harness the transformative power of generative AI. By providing a curated selection of foundation models and simplifying their implementation, Bedrock empowers organizations to experiment, iterate, and scale their AI initiatives rapidly.

In an era of globalization, businesses often pursue economies of scale and standardized solutions. Zoho, a global software behemoth with Indian origins, is carving a distinctive path. It has embraced a unique business strategy known as “transnational localism.” This approach intertwines global connectivity and local grounding, fostering local economies while partaking in the exchange of knowledge and culture. Transnational localism, as defined by Zoho, is a decentralized strategy that harnesses the benefits of a global scale while maintaining deep roots in local communities. It transcends the conventional “think global, act local” mantra, offering a more nuanced and influential method to tackle today’s complexities. This strategy is implemented through a tripartite approach:

• Developing a Global Technology Stack: Zoho creates its software products suite, ensuring total control and adaptability.
• Empowering Local Teams: Zoho sets up regional offices staffed with local talent, enabling them to tailor solutions to specific market requirements.
• Prioritizing Local Communities: Zoho invests in local talent development, infrastructure, and social initiatives, nurturing a sense of collective responsibility and growth.

Transnational localism strikes a balance between global outreach and local engagement. It involves establishing offices in less affluent locations globally, injecting investment, expenditure, and job creation into these areas. The company stays globally connected, not just digitally, but also through a shared ethos and culture, while remaining locally anchored.

Zoho’s CEO, Sridhar Vembu, characterizes transnational localism as a strategy that sources talent from regions often neglected by other companies. These are typically areas experiencing talent emigration, leading to hollow communities. Zoho strives to reintroduce opportunities into these regions, commonly drained into urban centers.

Beyond the Numbers: Real-World Examples

Zoho’s dedication to transnational localism extends beyond mere theory. It has actualized this philosophy by setting up a global network of over 25 offices in rural areas. Many IT suppliers overlook these locations for opportunities compared to their metropolitan counterparts. For instance, Zoho has an office in McAllen, Texas, with nearly 150,000 residents within a metropolitan area housing over a million people.

Another notable instance is Tenkasi in India, where Zoho inaugurated its first rural office. Despite being a city of nearly 100,000 people, Tenkasi is considered rural compared to India’s major metropolitan areas. In Tenkasi, Zoho operates a remote farm and an elementary school, both flagship initiatives in its rural revival strategy.

Zoho demonstrates its commitment to social responsibility in several ways. It has invested in rural India through its "10,000 Schools" program, which bridges the digital divide by providing digital infrastructure and training to schools. Additionally, Zoho empowers local communities by establishing offices in smaller towns across the US and Europe, fostering diversity and creating local job opportunities. Finally, Zoho tailors its product suite to specific market needs, showcasing its commitment to global inclusivity by respecting cultural and regulatory contexts.

The Impact on Zoho's Business: A Multi-Faceted Success Story

Transnational localism has significantly influenced Zoho’s business, propelling its remarkable growth. By the end of 2021, Zoho had amassed 500,000 customers, over 70 million users, and 40,000 customers on Zoho One, a product launched in 2017. One of these customers had 32,000 employees utilizing Zoho One. Fast-forwarding to 2024, Zoho’s customer base has expanded to over 750,000, with over 100 million users across 150+ countries.

Focused on growth and committed to new solutions that expand business horizons – the SMB market is on the brink of a multi-year growth trajectory.

They are here - Techaisle's annual SMB, Core Midmarket and Upper Midmarket Top 10 IT Priorities, IT Challenges, and Business Issues infographics, 13th year of Techaisle tracking at a WW level, and is sought after by IT vendors, channel partners, and media. Techaisle surveyed nearly 5000 SMBs and Midmarket firms, quota sampled to ensure adequate coverage of four small businesses (1-9, 10-19, 20-49, and 50-99 employees), three core midmarket (100-249, 250-499, and 500-999 employees) and two upper midmarket (1000-2499, 2500-4999) segments. As a result, the data represents a robust and reliable sampling of the market segment for IT products and services.

Techaisle surveys thousands of small and midsized businesses (SMBs) to understand technology imperatives and directions. The annual survey establishes context by asking respondents to identify their top business goals, technology priorities, and IT challenges for the upcoming year.

Redefining the art of the possible

The SMB market is a study in contrasts: the tension between boundless aspiration and a constrained reality. However, data shows that a market that has mastered the cloud and is excited by AI will dedicate itself to growth in 2024.