Blockchain Journal's editor-in-chief David Berlind meets up with Casper Labs CTO Medha Parlikar at the World Economic Forum in Davos to find out more about how enterprises can outsource their distributed ledger deployments to the full-stack blockchain consultancy of which she is a co-founder. As Parlikar explains, full-stack blockchain consultancies like Casper Labs are good for enterprises that know they have a use case for public distributed ledger technology (DLT), but that do not have enough in-house expertise to deploy a solution themselves. In the interview, Parlikar also talks about why fine-grained tracking of permissions and smart contract versioning are two of several features that make Casper public DLT a good choice for enterprise deployments.

To watch the video version of this podcast or read its full-text transcript, go to:
https://blockchainjournal.com/interview/fullstack-blockchain-consultancy-casper-labs-helps-enterprises-distributed-ledger/

The video can also be watched on Blockchain Journal's YouTube Channel at https://www.youtube.com/watch?v=twbhQ3_jpM0

Full-Stack Blockchain Consultancy Casper Labs Helps Enterprises With Distributed Ledger Deployments

In this episode of the Blockchain Journal podcast, Blockchain Journal editor-in-chief David Berlind explores the intersection of artificial intelligence (AI) and blockchain with guest Casper Labs CEO Mrinal Manohar.  As more people become personally exposed to the productivity gains that can be had from offerings like ChatGPT and MidJourney (automated art and image generation), more enterprises are taking a closer look at how AI can optimize business processes and improve the bottom line. But, in its current state, AI is neither risk-free nor without potential long-term legal consequences. 

During the interview, Manohar discusses the applicability of blockchain's tamper-proof nature to the trustworthiness of artificial intelligence. As Manohar puts it, AI is a "black box," lacks transparency, and suffers from a range of governance issues not the least of which has to do with version control. According to Manohar, Blockchain can bring a certifiable and trustworthy audit trail to AI decision-making, addressing concerns related to biases, data integrity, and accountability.

So who should care among those in the world's largest enterprises where AI is already playing a role? Manohar says the Chief Information Officer (CIO) and Chief Risk Officer (CRO) are probably at the top of the list with the former bearing responsibility for technology deployments and the latter concerned with the potential for legal exposure due to the risks associated with AI.

To watch the video version of this podcast or read its full-text transcript, go to:
https://www.blockchainjournal.com/interview/how-blockchain-can-address-inherent-risks-artificial-intelligence

The video can also be watched on Blockchain Journal's YouTube Channel at: https://www.youtube.com/watch?v=RNWC-1ZxIC8

How Blockchain Can Address the Inherent Risks in Artificial Intelligence

In this episode of the Blockchain Journal podcast, Blockchain Journal editor-in-chief David Berlind interviews Shyam Nagarajan, a global partner with IBM Consulting whose focus is Blockchain and Responsible AI (Artificial Intelligence). Naturally, Nagarajan had a lot to say about the explosive growth of AI, the increasing importance of trusted data in training AI models, and the role that blockchain is uniquely qualified to play when it comes to the responsible, fair, and transparent deployment and governance of AI in the enterprise. 

David and Shyam explore the role of blockchain in ensuring data authenticity and provenance in the so-called "supply chain of AI models." But until actual management consoles and applications are put into business decision-makers' hands, the conversation borders on the theoretical instead of the practical. But IBM is looking to change that with some new application layer governance offerings that sit on top of blockchain with an eye towards ease of access and control. But overall, the conversation highlights the value of blockchain in addressing the challenges and risks associated with AI.

Key Takeaways
* The value of blockchain in the world of AI lies in its ability to ensure the trustworthiness and provenance of the data that AI relies on.
* Blockchain can be used to verify the authenticity and integrity of data used to train AI models, reducing the risks associated with data bias and tampering. 
* An AI-imbued application layer on top of blockchain can provide additional functionality and governance for ease of AI model and data management as well as third-party auditing.
* Education and awareness about AI governance are crucial for organizations to implement responsible AI practices effectively. Today, the need for AI governance is under-appreciated, and it's unclear who within the enterprise should assume the responsibility. This "don't look at me" attitude is delaying the enterprise AI governance conversation while the effects of shadow IT, where unchecked departmental AI deployments start to take root, could become irreversible at the pace things are heading.

To watch the video version of this podcast or read its full-text transcript, go to:
https://blockchainjournal.com/interview/ibm-turns-blockchain-solve-some-ais-thorniest-problems

The video can also be watched on Blockchain Journal's YouTube Channel at https://www.youtube.com/watch?v=Xwc2pkZ3_FI

IBM Turns to Blockchain To Solve Some of AI's Thorniest Problems

The world's leading source of information for enterprises and businesses looking to use blockchain as an application platform for digital transformation, business innovation, customer engagement, and industry disruption.

New tracks tagged #casperlabs