TORONTO, April 23,
2024 /PRNewswire/ -- Pharma experts and AI innovators
from ODAIA will be the featured presenters at top industry events
this spring. Speakers will share how pharma companies are advancing
their commercial strategies using Customer Science, a
transformative discipline that integrates AI with data science and
behavioral science for a deeper understanding of healthcare
professionals (HCPs) and what motivates their patient
decisions.
Veeva Commercial Summit, Boston, May 8,
at 12:30 p.m. EST
Philip Poulidis, CEO, will
demonstrate the use of AI to find, select, and engage the right
HCPs. It typically takes months for marketing to complete customer
segmentation and targeting, which is refreshed once or twice a
year. When there's a marketplace change, an entirely new data
analysis must be done, taking more months before sales gets updated
plans of action to start engaging HCPs.
Poulidis will show ODAIA MAPTUAL completing this process in
minutes, not months. Marketing can set new brand objectives, use
advanced AI capabilities to automate data analysis, and deliver
personalized GenAI-powered insights in Veeva CRM MyInsights. Sales
reps can prioritize which HCPs to contact, how best to engage them,
and get treatments to patients months faster.
PMSA 2024 Annual Conference, Denver, Colo., May
8, at 11:10 a.m. EST
Matthieu Buot de l'Epine, lead
machine learning engineer, and Pouyan
Jahangiri, director of data science and machine learning,
will discuss improving prediction accuracy in prescription modeling
using hierarchical machine learning techniques and time series
data. Creating accurate and consistent forecasts at the individual
HCP, territory, state, and national levels is critical in the
pharma industry because of the limited shelf life for medicines and
significant impact of prediction errors to resource allocations,
financial planning, and regulatory compliance.
Buot de l'Epine and Jahangiri will discuss how a hierarchical
model enables simultaneous predictions and outputs at every level
and integrates insights for better consistency and accuracy in
forecasting, supporting pharma companies in planning and executing
their commercial strategies more efficiently and effectively.
Reimagine Pharma Marketing, Long Branch, N.J., May
21, at 1:45 p.m. EST
Eric Trépanier, chief strategy and customer officer, will be
joined on stage with a top 10 pharma customer to discuss the use of
AI to provide never-before-seen insights into HCPs and dramatically
improve marketing and sales rep decision-making. Traditional
approaches like next best action and segmentation and targeting
fall short in delivering meaningful customer experiences.
Speakers will share how commercial pharma innovators are
embracing Customer Science to better understand HCPs and drive
engagement. Commercial organizations can break the limitations of
rules-based systems and historical data analysis to deliver valued
HCP experiences using real-time, relevant insights.
Snowflake Data Cloud Summit 24, San Francisco Calif., June 5, at 3:30 p.m.
PST
Phillip Poulidis, CEO, and
Zak Beharie, CTO, will discuss the
successful deployment of machine learning applications for
commercial use cases in pharma. The process for transferring data
includes cumbersome secure file transfer protocols (SFTPs), slow
computing power, and complex data agreements.
Poulidis and Beharie will share how to overcome data transfer
limitations using the Snowflake Native App Framework, ODAIA machine
learning, and pharma customers' proprietary data to achieve better
ROI. Customers retain total data control, streamline their
commercial processes, and seamlessly deliver predictive insights to
their commercial organization.
To learn more about ODAIA, schedule a meeting with our team at
Veeva Summit, PMSA, Reimagine, and Snowflake Data Cloud Summit.
Learn more about all our upcoming events here.
About ODAIA
ODAIA is the leading AI company helping
life sciences companies innovate their commercial strategies using
Customer Science. The company's cloud solution, MAPTUAL, integrates
data science, behavioral science, and AI to gain a deep
understanding of healthcare professionals (HCPs) and their patient
decisions across the entire customer journey. To learn more about
ODAIA, visit our website or follow us
on LinkedIn.
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