Amazon SageMaker TechTalk

Tech Talk
Accelerate your ML journey with Amazon SageMaker

Understand how Amazon SageMaker can help overcome the typical challenges faced in self managed ML platform operations

Join Quantiphi and AWS in this virtual Tech Talk to:

Address the challenges of data preprocessing, ML pipeline set up and high operational overheads
Understand how Amazon SageMaker solves these challenges and benefits startups in reducing their time to market and explore SageMaker Studio IDE
Set up a roadmap to build a fully automated ML framework for your organization

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Something Powerful

Tell The Reader More

The headline and subheader tells us what you're offering, and the form header closes the deal. Over here you can explain why your offer is so great it's worth filling out a form for.

Remember:

Bullets are great
For spelling out benefits and
Turning visitors into leads.

Something Powerful

Tell The Reader More

The headline and subheader tells us what you're offering, and the form header closes the deal. Over here you can explain why your offer is so great it's worth filling out a form for.

Remember:

Bullets are great
For spelling out benefits and
Turning visitors into leads.

Speakers

BHARAT PATIDAR

Solutions Architect - Machine Learning, Quantiphi

CHRIS CULOS

Business Development Lead, Quantiphi

DHAWAL PATEL

Sr. Startup Solutions Architect focused on Machine learning, AWS

About Quantiphi

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. We are passionate about our customers and obsessed with problem-solving to make products smarter, customer experiences frictionless, processes autonomous and businesses safer.