Cognixia Podcast

About Cognixia Podcast

The Cognixia podcast is brought to you by Cognixia. We aim to enlighten people with the digital transformations occurring around the globe by sharing our experiences and tales of learning adventures. This podcast is your one stop for everything Tech and Digital. We believe in shaping the world by giving people a memorable learning experience thus enabling digital ready minds.

Publisher

Cognixia

Category

technology

Language

en

Explicit

No

First episode

8 Feb 2022

Latest episode

2 Oct 2026

Latest episodes

218 episodes in the feed.

1. 

   2 Oct 2026

   The Forward Deployed Engineer Boom Why Every Enterprise Is Hiring for This Role

   Artificial intelligence is changing not only enterprise technology but also the talent organizations need to turn AI capabilities into real business outcomes. One emerging role attracting significant attention is the Forward Deployed Engineer. In this episode of the Cognixia Podcast, we explore why the Forward Deployed Engineer role is becoming increasingly important as enterprises move from AI experimentation toward practical implementation. These professionals operate at the intersection of engineering, AI, business requirements, and customer or stakeholder needs. The discussion examines what a Forward DeployedEngineer actually does and how the role differs from traditional software engineering. Rather than working only within an engineering environment, Forward Deployed Engineers often work directly with business teams or customers to understand complex problems, build prototypes, integrate technologies, test solutions, and adapt implementations to real enterprise environments. We also explore the Forward Deployed Engineertalent gap in 2026. Enterprises increasingly need professionals who combine software engineering, AI, cloud, data, communication, problem-solving, and business understanding. Finding all these capabilities in a single candidate can be challenging, which is creating new opportunities for both hiring and workforce development. The episode also discusses Forward Deployed Engineer jobs and why the role can vary significantly between organizations. Some positions may focus heavily on engineering, while others may involve customer engagement, applied AI, solutions development, or enterprise implementation. We also discuss why Forward Deployed Engineer salary information should be evaluated based on geography, experience, technical specialization, industry, and role responsibilities. A major theme is source, build, and embed AI talent. Enterprises can source experienced professionals, build new capabilities through internal training and practical projects, and embed emerging talent into teams where those skills can create business value. The conversation also considers the skills future Forward Deployed Engineers may need. Technical expertise remains important, but communication, business problem-solving, adaptability, product hinking, responsible AI, and stakeholder management are becoming increasingly relevant. For business leaders, technology leaders, HR and L&D professionals, talent teams, and enterprise transformation teams, this episode provides a practical look at one of the emerging roles shaping the AI workforce. Key topics include Forward Deployed Engineer, Forward Deployed Engineer talent gap 2026, Forward Deployed Engineer jobs, Forward Deployed Engineer salary, source build embed AI talent, enterprise AI, AI workforce transformation, emerging technology roles, AI talent development, technical talent, and enterprise AI adoption. The Forward Deployed Engineer represents a broader shift in technology work. As enterprises adopt AI at greater scale, they need professionals who can connect advanced technology with real business problems and help move ideas from concept to implementation. Listen to more technology and talent conversations on Cognixia Podcast (https://www.cognixia.com/category/podcast/).

2. 

   25 Sept 2026

   Decision-Making Skills for Leaders in the AI Era

   Artificial intelligence is changing how enterprise leaders gather information, evaluate options, and make strategic decisions. AI can process large volumes of data, identify patterns, generatescenarios, and provide recommendations at a speed that traditional analysis cannot match. But faster access to information does not automatically create better business decisions. In this episode of the Cognixia Podcast, we explore the decision-making skills leaders need to succeed in an AI-enabledbusiness environment. The conversation looks at how executives can combine AI-generated insights with human judgment, strategic thinking, and business context. The episode examines practical approaches to strategic decision making and explains why leaders should evaluate AI outputs rather than automatically accepting recommendations. We discuss how executives can question assumptions, compare alternatives, identify risks, and connect technology-driven insights with organizational priorities. You will also learn why executive decision skills are becoming increasingly important as AI becomes part of everydaybusiness workflows. Leaders need to understand not only what AI can do, but also where its limitations require additional validation and human oversight. Another key focus is leadership under uncertainty. Business leaders often need to make important decisions withoutcomplete information. AI can help organizations explore multiple scenarios, test assumptions, and understand potential outcomes. Leaders can use these capabilities to prepare for different possibilities while keeping accountability for the final decision. The episode also explores the importance of clear decision rights. As AI becomes part of enterprise processes, organizations need to define who owns a decision, who provides input, who validates AI-generated information, and who has authority to approve or reject an action. For HR, L&D, business leaders, technology leaders, and transformation teams, this discussion offers practicalperspectives on building leadership capability for the AI era. Strong decision-making skills can help organizations use AI more effectively while maintaining critical thinking, accountability, and business alignment. Key topics include AI leadership decisions, strategic decision making, executive decision skills, leadership under uncertainty, AI adoption, human judgment, enterprise AI, responsible AI use,leadership development, corporate training, workforce readiness, and business transformation. The goal is not to replace leadership with AI. The goal is to help leaders understand where AI can strengthen analysis andwhere human judgment remains essential. As organizations continue to adopt artificial intelligence, leaders who can combine technology awareness with sound decision-making practices will play an important role in turning AI capabilities into meaningful business outcomes. Listen to more episodes and explore the full collection on Cognixia Podcast (https://www.cognixia.com/category/podcast/).

3. 

   7 Aug 2026

   Building High-Performance Teams in the Age of AI

   Host [Host Name] interviews [Guest Name, Title] about building high-performance teams that leverage AI for business success and continuous growth.

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

YouTube views

267,864

Score snapshot 15 Sept 2025

Spotify

5.0 / 5

1 ratings

Podcast Authority Score: 80 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

98

Social presence

0

YouTube

86

Engagement

68

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Guest appearances

Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.

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