3 ways Low-code Data Science platforms address MLOps challenges⚙️
3 ways Low-code Data Science platforms address MLOps challenges⚙️
Hello,
This week, I ran a business case discussion on AI Ethics at Penn State’s Smeal College of Business. This was doubly special because I co-authored this case study.
We wrote this to help readers understand the ethical dilemma with the use of powerful AI tools. The case presents the story of an enterprise that deploys Voice AI to improve employee engagement - the project is so successful that.. it then goes astray!
The case was just accepted at the California Entrepreneurship Educators Conference next month. I’ll share more about the case shortly. If you’re curious to know more, drop me a note.
This newsletter will take you about 4 minutes to read.
I. Spotlight: 3 ways low-code data science platforms address MLOps challenges⚙️
Organizations across industries are turning to data and analytics to solve business challenges. A survey by New Vantage Partners found that 91 percent of enterprises have invested in AI. However, the same study found that just 26 percent of these firms have AI in widespread production.
Organizations are struggling to solve business challenges with AI. They find that building machine learning (ML) applications takes time and requires expensive maintenance and talent that’s in short supply. Leaders say that over 70% of data science projects report minimal or zero business impact.
Here’s how low-code ML platforms can help tackle these challenges.
Photo by Blocks Fletcher on Unsplash
Low-code is a software development approach that leverages a visual user interface to create applications instead of traditional hand-coding. For decades, developers built applications by writing thousands of lines of code from scratch, often round-the-clock.
Building software solutions using low-code falls somewhere in the continuum between programming from scratch and buying off-the-shelf. It brings the best of both worlds by balancing flexibility and time-to-market.
A low-code development platform (LCDP) is considered quicker to build, economical to maintain, and developer-friendly because of its visual approach.
Low-code tools empower enterprises by democratizing software development. Today, anyone with a business interest and basic technology skills can build an app using low-code technology. According to Gartner, by 2024, more than 65 percent of all app development will be on low code. Globally, the low-code market is projected to reach $187 billion by 2030.
Can low-code accelerate AI solutions?
Globally, the ML market is projected to reach $209 B by 2029…
II. Industry Roundup:
1. Article: How Colgate-Palmolive Is Using Data And Analytics To Transform A 200+ Year-Old Business
6 minutes | Forbes | Randy Bean
Colgate-Palmolive (CP) is using data and analytics to better serve its customers, deliver greater consumer options, and drive business growth. Diana Schildhouse, the Chief Analytics and Insights Officer shares how she takes up a 100% ‘offense’ approach - driving revenue growth with data. Check CP’s initiatives and key learnings.
2. Article: Is It Time To Reinvent the Chief Data Officer Role?
6 minutes | CDO Magazine | Randy Bean and Allison Sagraves
The authors suggest that the industry is nearing an inflection point, and organizations should use data to make informed business decisions quickly and confidently. They recommend organizations prioritize their efforts, adopt a demand-driven model, build trust and credibility, and deliver greater business value from data investments.
3. Infographic: Automation May Not Come for Everyone's Job After All
3 minutes | Bain & Company | Andrew Schwedel and James Root
This infographic mentions the 5 skills most jobs require and bifurcates those into automatable activities and human activities. It highlights occupations in the US that require a high level of human intervention like arts & entertainment, management, and education. Check out the professions likely to see more automation, such as cleaning & maintenance, manufacturing, and agriculture.
III. From my Desk:
1. Post: Top 50 Global Thought Leaders in Analytics 2023
1 min | Thinkers360
I’m happy to be featured amongst the 2023 Top 50 Thought Leaders in Analytics published by Thinkers360! Thrilled to be #2 on the list with other eminent leaders. Thanks to our team, clients, partners & all of you for the engagement & conversations.
2. Upcoming talk: The secret to delivering business impact
1 min | DataCamp
What's the secret to delivering business impact with analytics? Tune into my session for DataCamp's RADAR2023 event later this month. I'll share how you can use Data Storytelling to drive decisions. With business case studies, find out how firms are tapping into the power of information design. Check out the 2-day lineup of exciting sessions and sign up for the event.
Tired of ChatGPT? Here’s a free AI-powered interior designing tool to transform your home - RoomGPT 😜!
Thank you for subscribing and reading the newsletter. I appreciate your attention,
Ganes.
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I’m Ganes Kesari. I publish ‘Data-Driven Future’ to help understand how data shapes our world, explore key trends, and explain what they mean for you today. I speak and write to demystify data science for decision-makers and organizations.
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