Scaling Ai, Automation, And Workforce Innovation For The Future

In this article, Roberto Tovar Arellano, Digital & Data Tech BP Manager, examines the developmental role of new technologies during conversion. He discusses the strategic implementation of AI, cloud computing, low-code automation, key factors in scaling AI and automation, and the importance of comparing automation with human expertise to boost the future workforce.

• It also provides insight into effective integration of new technologies, highlighting governance, innovation and long-term adaptability. He highlights how companies use technology to promote sustainable growth and control future challenges.
• A journey of digital transformation: from production to strategic technical leadership I began my career at the GE production facility and directed initiatives to optimize operations through robotics, IoT and BI.
• After that I competed for 3M, focused on digital conversion, and focused on customer operations, the Ministry of Finance, credits and collections.
• He then came to Unilever as BP of the initiative digital supply chain in the management of hyper-automation, RF technology, machine learning and AI-based tools. After all, as a high-tech BP manager, I came to GSK.
• GSK has come to innovate through its new technology portfolio and as a strategic “bridge” between business units and technology.

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Scaling AI and Automation: Key Factors of Long-Term Success In my opinion, several important factors should be considered.

1. First Pilot Property Business Value: Invest time in selecting effective applications that match your organization’s strategy. Define clear steps, scopes and metrics to demonstrate the benefits of the first pilot Invest in upskills and reskilling programs that cannot replicate technology essential to human skills. B. Structure of relationships, negotiations, and creative issues. I will focus mainly on them

2. Organizational Maturity: Process standardization for replication and access to quality data through data management. If there is no standard process in the region, they will work with the company to establish a “best practice standard process.”

3. Organization of the Digital Ecosystem: Understand the company’s digital ecosystem setup and set it up early with key technical stakeholders to determine the optimal integration approach for the new technology. Do not integrate new technologies that are incompatible with the ecosystem.

4.. Key Stakeholder Sponsors: Secure and robust guided support in navigating implementation and extension challenges. 5. Early risk management: Consider AI use compliance, industry regulations and ethical guidelines compliance when identifying potential impacts and developing risk assessments and damage reduction plans.

Today’sTransforming Technologies in Business: Cloud, Low Code Automation, AI I think cloud computing, low-code automation, AI (particularly generated AI and machine learning) is currently having the most transformative impact on business operations. Cloud computing allows businesses to quickly deliver and expand their IT infrastructure, providing agility and flexibility.

Low code automation allows non-technical users to develop customer-specific solutions, increasing efficiency and productivity quickly. AI technologies such as generator AI and machine learning allow companies to use data knowledge to uncover new possibilities and drive innovation. However, proper implementation and robust data management practices are important to make the most of these technologies’ potential.

Building a Future-Oriented Workforce: A Balance of Automation and Integration of Human Know-How To create a future workforce, companies need to coordinate automation and talent development if:

1. Strategic Implementation of Emerging Technology: Human-added Value Identifies the company’s processes and critical tasks. Next, we identify all the processes that distract this human value. These are the processes that companies should invest in ambitious technologies such as automation and AI.
2. Human resource development focused on critical human skills: Investment in upskills and reskilling programs that cannot replicate technology essential to human skills: B. Relationship structure, negotiation, creative problem solving. It focuses primarily on those identified. Using technology and human expertise, organizations can promote innovation and a competent, customizable workforce that navigates future challenges.
3. CXO’s key considerations to integrate ambitious technology: strategy, innovation, governance For CXOs that integrate ambitious technologies (such as AI, IoT, RPA), we recommend:

1. Focus on strategic implementation and value-added: Identify the processes through which these technologies can provide important benefits that meet your business goals.

2. We carry out a thorough review and pilot project to verify possible effectiveness and feasibility.

3..Promote a culture of innovation and continuous learning: Encourage employees to use new technologies and provide the training and support they need.

4. Create strong governance framework conditions and ethical guidelines: Comply with regulations and industry standards for data protection, security and ethical use.

5. Integrating approaches as an ongoing journey: maintain agile and adaptability, encouraging continuous improvement and learning from initial implementation.

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