Embracing Disruption with Fluency in GenAI

Featured Offerings Our STRENGTHS FAQS INSIGHTS

/DISCOVER

FEATURED
OFFERINGS

C-SUITE

For CXOs, EVPs, SVPs and VPs of all functions across the organisation

Program

GenAI CXO Mindset

High-impact leadership immersion to spark creativity and unleash bold ideas in today’s tech wave.

Type

Cohort-based (blended & in-person)

Duration

1 DAY / 8 Hours

Program

GenAI for Leaders

Equip leaders to harness AI, navigate ethical challenges, and drive innovation and customer value in a GenAI future.

Type

Cohort-based (blended & in-person)

Duration

4 weeks / 16 Hours

Functional Talent

For Enterprise Sales, Customer Service, Operational Excellence & Marketing teams

Program

GenAI for Marketing

The GenAI for Marketing program empowers marketers to use AI for content creation, personalization, and data-driven decisions.

Type

Cohort-based (blended & in-person)

Duration

6 weeks / 20 Hours

Program

GenAI for Operational Excellence

The GenAI for Operational Excellence program teaches AI for automation, innovation, and process optimization to enhance performance.

Type

Cohort-based (blended & in-person)

Duration

1- 6 weeks / 45 Hours

Program

GenAI for Customer Service

The GenAI for Customer Service program teaches AI for better interactions, streamlined tasks, and personalized support at scale.

Type

Cohort-based (blended & in-person)

Duration

6 weeks / 20 Hours

Program

GenAI for Enterprise Sales

Empower your sales team with this Generative AI program, teaching leaders to leverage AI, uncover insights, and close deals.

Type

Cohort-based (blended & in-person)

Duration

6 weeks / 20 Hours

Tech Talent

For Developers & Data Analysts

Program

GenAI for FSD

Enhance software development—productivity, release velocity, code quality, and automation—using GenAI tools like Large Language Models.

Type

Cohort-based (blended & in-person)

Duration

1- 6 weeks / 30 Hours

Program

GenAI for Data

Accelerate general AI adoption in data analytics with our program, featuring case studies and simplified AI insights.

Type

Cohort-based (blended & in-person)

Duration

1- 6 weeks / 40 Hours

/EMPOWER

OUR
STRENGTHS

Sharp Learner Personas

Programs for tech and non-tech practitioners, across tenures, roles and mandates

Specific Functional Focus

Programs at the intersection of functions and GenAI, across enterprise sales, marketing, and customer service

Active Learning Methods

Programs with practitioner perspective, live case studies and labs to trigger application and confidence

Multi-Format initiative GENAIROUS

Podcast: Hosted by Srikanth Iyengar, featuring global GenAI experts. Substack & Conversations: Led by Shreyasi Singh, bringing together practitioners and key clients

INNOVATION DEMANDS EVOLUTION: EMBRACE GENAI FLUENCY

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FAQs

How can GenAI help in identifying and mitigating threats?

GenAI can identify threats by analyzing vast amounts of data for unusual patterns, correlating events across different systems, and predicting potential vulnerabilities based on historical attack data.

What are the challenges of integrating GenAI into cybersecurity systems?

Challenges include ensuring data integrity and security, managing false positives in threat detection, integrating AI tools with existing security infrastructure, and the need for skilled personnel to oversee AI-driven security operations.

How can GenAI be leveraged for data analysis?

GenAI can automate data analysis processes, provide insights from large datasets, identify trends and correlations, and facilitate predictive analytics, making data-driven decisions faster and more accurate.

What are the best practices for integrating GenAI with data management?

Best practices include ensuring data quality and consistency, defining clear objectives for GenAI applications, utilizing scalable data infrastructure, and fostering collaboration between data teams and AI specialists.

How can GenAI improve data accuracy and insights?

GenAI can improve accuracy by identifying outliers and inconsistencies in data, automating data cleansing processes, and applying machine learning techniques to refine data models and enhance predictive capabilities.