-
Publication: C&EN Media Group
-
Client: C&EN/American Chemical Society
-
Type of Work: Marketing blog
-
Scope of Work: Placement, sourcing, writing, editing
Social Commerce and Science Marketing:
A New Route to Revenue
When scrolling through your social media feeds, you may notice an increase in sponsored content subtly embedded and encouraging you to purchase a product or service. Social commerce, or the direct sale of products and services through social media, has become big business since first emerging in 2015.
Insider Intelligence predicts that by 2025 sales generated directly through social media will reach almost $80 billion in the U.S. According to Accenture, the global social media commerce industry, which was worth an estimated $492 billion in 2021, “is expected to grow three times as fast as traditional e-commerce to $1.2 trillion by 2025. Growth is predicted to be driven primarily by Gen Z and Millennial social media users, accounting for 62% of global social commerce spend by 2025.” Read more here.
-
Publication: The New Stack
-
Client: Digitate
-
Type of Work: Contributed article
-
Scope of Work: Placement, sourcing, editing
The Move to Unsupervised Learning:
Where We Are Today
Deep learning is a sub-field of machine learning which particularly focuses on the class of algorithms that are inspired by the structure and function of the human brain. These algorithms use Artificial Neural Networks (ANNs) to learn from large amounts of data and represent the world as a layered hierarchy of concepts.
For instance, for image recognition, light and dark regions are detected first, then edges, then forms, and shapes. ANNs existed five decades ago, but back then, they were just two layers deep, because that’s all that the processing power of the day was able to handle. Now, we can go much deeper by adding more and more layers to the ANN, and we can better observe, understand and react to complex events. Hence, the “deep” in the name. Read more here.
-
Publication: C&EN Media Group
-
Client: C&EN/American Chemical Society
-
Type of Work: Marketing blog
-
Scope of Work: Placement, sourcing, writing, editing
Top 5 Science Marketing Trends
to Watch in 2023
Science marketing trends are ever-evolving. From the meteoric rise of TikTok and influencers to inclusive and personalized campaigns – here are the top 5 new trends that every science marketer should keep their eyes on in the year ahead.
Science marketing is an ever-evolving discipline. Advances in technology mean new channels to market as media platforms continue to emerge. Improvements in connectivity have seen us consuming content in more places than ever before. Part of the role of marketers is to understand, embrace and master these new dynamics and science marketing trends.
The COVID-19 pandemic saw online working, commerce, communication, and entertainment become significant focal points of daily life. It taught life science marketers that a strong, unified online presence across the digital marketing trifecta of earned, paid, and social media is vital. In this blog post, we look at five contemporary science marketing trends worthy of further investigation in the year ahead. Read more here.
-
Publication: Outsourcing Pharma
-
Client: Trial AMPlify
-
Type of Work: Contributed Q&A
-
Scope of Work: Placement, sourcing, editing
Q&A with Trial AMPlify's, Jon Eilberg:
The hurdles and solutions for recruiting and retaining patients for trials
Recruiting and retaining patients on trials is one of the biggest hurdles the pharma industry faces, we spoke to Jonathan Eilberg to find out why and ways to tackle the ongoing issues. Read more here.
-
Publication: DevPro Journal
-
Client: Digitate
-
Type of Work: Contributed article
-
Scope of Work: Placement, writing. sourcing, editing
How Observability Will
Change Your Development Processes
Adaptive observability integrates two relatively new and active areas of research - adaptive monitoring and adaptive probing.
An essential requirement for managing IT operations (ITOps) in today’s complex digital enterprises is the availability of high-quality monitoring data. Systematically deploying a monitoring framework to capture behavioral characteristics of all compute, communication, and storage components is vital to optimizing ITOps efficiencies.
Data observability augments conventional system monitoring by providing end-to-end visibility across an enterprise’s entire technology stack. This enables the complete internal state of ITOps across an enterprise to be proactively monitored through the collection, analysis, and correlation of system outputs such as logs, metrics, and traces.
Read more here.
-
Publication: Contract Pharma
-
Client: Rockwell Automation.
-
Type of Work: Contributed article
-
Scope of Work: Placement, sourcing, writing, editing.
How Industry 5.0 Might Benefit
Pharmaceutical Manufacturing
Over the past dozen years, Industry 4.0 has revolutionized manufacturing technology, interconnecting machines seamlessly to deliver smart manufacturing through the automation and optimization of processes.
Integrating technologies such as the industrial internet of things (IIoT), artificial intelligence (AI), machine learning (ML), and cloud and cognitive computing into manufacturing ecosystems delivers consistent quality and manufacturing flow, improved productivity, reduced downtime, streamlined processes and decreased costs. Read more here.
-
Publication: Pharmaceutical Outsourcing
-
Client: Kalypso
-
Type of Work: Contributed article
-
Scope of Work: Placement, sourcing, writing, editing
Digital Knowledge Management Drives the Connected Pharma Enterprise
The rapid development, manufacture and distribution of vaccines that began in early 2020 to combat COVID-19 showed that perseverance and sheer human will can overcome legacy challenges to meet a global emergency, quickly and safely. While that was something of a landmark achievement, that condensed, pressurized development and tech transfer timeline is neither sustainable nor practical for commercial product drug development and commercialization.
Pressure to go-to-market faster within the pharma industry is nothing new. Even before the COVID-19 pandemic broke, pharma and life sciences companies were working in an ever-evolving and increasingly complex environment in terms of regulatory frameworks, supply chain risk and reliability fluctuations, manufacturing complexity, and expansion of network nodes. Read more here.
-
Publication: APMdigest
-
Client: Digitate
-
Type of Work: Contributed article
-
Scope of Work: Placement, sourcing, writing, editing
Embracing AI Can Support Business Resiliency During Economic Uncertainty
During economic uncertainty, enterprises want improved business uptime, productivity gains, and revenue assurance. To be best positioned to achieve these objectives, it is vital to have a resilient IT and business infrastructure in place. However, with pressure on cost control, reducing and optimizing budgets, companies can't simply hire more support staff, so other optimization avenues need to be explored.
Looking back at previous recessions or economic downturns, investment in technology was one of the first areas to be affected by budgetary cuts and, while it may be tempting for management to look at IT budgets as an area to cut back on for short-term savings, in the long term this can damage a company on a much more fundamental level. Read more here.
-
Publication: Semiconductor Digest
-
Client: EdgeQ
-
Type of Work: Contributed article
-
Scope of Work: Placement, sourcing, writing editing
The Softwarization of Chip Design
Drives Wireless Technology Advances
Functionality, integration, power consumption, scalability, form factor and cost point are evergreen considerations driving innovation in the chip market. Doing more in less real estate has been key to driving advances in areas such as mobile communications, data storage, cloud services, and data centers, in addition to smartphones, tablets and wearables on the personal device side, that were almost unimaginable even a decade ago.
However, as the semiconductor industry moves towards the end of Moore’s Law, which is no longer economically viable for many companies, and lithography limitations ensure that chips cannot get physically bigger, the intersection of Moore’s Law, hardware acceleration, and ‘softwarization’ is becoming central to the future of performance scaling and chip design. Read more here.
