Julianna Delua, Author at IBM Blog

Julianna Delua

SME, IBM Analytics, Data Science/Machine Learning

Julianna Delua has been creating products and solutions in all things data and AI since she started as a rocket scientist at MIT. From management consulting to product and solution management for analytics and converged solutions, her specialty has been to create and create a new market from zero to $300M. Julianna is based in San Francisco, CA and travels worldwide to partner with clients on co-developing innovative AI solutions or discussing new research ideas to bring to the market.

A blazingly fast database in a data-driven world

6 min read - A database is a crucial engine for a world becoming more data driven. Businesses are more heavily relying on smart insights and emerging patterns to succeed. Advancements in software and hardware had an interplay between the rising appetite for any organization…

Tackling the challenges of sustainable growth with data and AI

3 min read - Now in its fourth year, the Call for Code Initiative has grown to more than 400,000 developers and problem solvers across 179 nations, and it has generated more than 15,000 applications. Call for Code aims to drive immediate and lasting…

Paving the paths to AI engineering and ModelOps

4 min read - In the face of tremendous disruptions and shifts during 2020, IBM Institute of Business Value (IBV) uncovered that organizations have continued to accelerate their digital transformation. According to Gartner, “Despite the global impact of COVID-19, 47% of AI investments were…

AutoAI: Synchronize ModelOps and DevOps to drive digital transformation

4 min read - As an increasing number of organizations drive AI-powered digital transformation, several key trends in operationalizing AI are emerging. Growth leaders are separating themselves from growth laggards by using AI and machine learning (ML) in modern application development. Below are some…

Scale ModelOps to drive AI value from edge to hybrid clouds

4 min read - The scale, speed and volatility of the global business climate are forcing a reckoning to our approach to decision making, operations and use of technology. From expense and liquidity management, to customer engagements, to critical response, businesses can improve their…

Five ideas for accelerating your data science and AI projects in a post-pandemic world

5 min read - In the age of Covid-19, business as usual just isn’t an option. Workforce resiliency, enterprise agility and cost reduction have all become top of mind for business leaders. Digital transformation through AI can play a key role in bolstering a…

Cloud April 23, 2020

Discover patterns and prescribe actions on a multicloud data and AI platform

5 min read - Innovation and adaptability are more vital than ever. Our ability to discover new insights, examine patterns and build hypotheses continuously helps us adjust and improve our response to rapidly changing conditions. The Innovator’s DNA by Jeff Dyer, et.al describes five discovery skills…

What is the impact of data science automation?

4 min read - On June 12th, IBM debuted AutoAI, a new set of capabilities for Watson Studio designed to automate critical yet time-consuming tasks associated with designing and optimizing AI in the enterprise. As a result, data scientists can be liberated to execute more data science…