Prøve GULL - Gratis
‘Simplifying Commerce For The SMBS Is The Main Aim'
PCQuest
|January 2018
In talks with PC Quest Manish Choudhary, Senior Vice President, Global Innovation & Managing Director at Pitney Bowes India puts his views on the initiatives taken by the company for the mid market sector in India
What are the different products and service offerings from Pitney Bowes and are they categorized for different market verticals?
Pitney Bowes is a global technology company that offers a range of innovative products and solutions that enable commerce in the areas of customer information management, location intelligence, customer engagement, shipping and mailing, and global ecommerce in approximately 100 countries around the world.
We are a 100-year old start-up that invented an industry in our first century and now we are transforming our legacy business to become a model of success for clients across a wide range of industries. Pitney Bowes combines the strength of physical mail and shipping with digital experiences to deliver more value to its clients, ranging from 90% of Fortune 500 to one million+ small and medium-sized businesses.
Banks, telcos, insurance firms and a range of other businesses use our technologies to support them in their digital transformation, so that they can provide digital interactive and personalized experiences to their customers. Our products enable more than 250 retailers, brands and online marketplaces sell to more than 6.5 million buyers in more than 220 countries and territories, using more than 74 currencies.
What are your offerings for SMBs and how they are leveraging your platform for business growth? Have you identified them in clusters and if so on how many you are working on?
Denne historien er fra January 2018-utgaven av PCQuest.
Abonner på Magzter GOLD for å få tilgang til tusenvis av kuraterte premiumhistorier og over 9000 magasiner og aviser.
Allerede abonnent? Logg på
FLERE HISTORIER FRA PCQuest
PCQuest
When Software Drives the Machine Need for Enterprise-Grade Software
Cars used to fail because of broken parts.Now they fail because of broken code. As vehicles become rolling computers, enterprise-grade software, ruthless testing, and fail-safe architecture decide one thing: whether a car keeps moving safely at 100 km/h
2 mins
March 2026
PCQuest
AI on the ground Practical use cases of AI in large enterprise operations
AI isn't a side project anymore, it's the quiet operator inside global giants. It reads invoices, senses machine fatigue, tailors every customer moment, flags risk in real time, and feeds leaders sharper instincts. Scale just got smarter
3 mins
March 2026
PCQuest
From AI experiments in 2025 to enterprise scale in 2026: Why data foundations will decide the winners
Everyone's betting big on Al, but most are burning cash instead of building value. The hidden culprit? Dirty data, clunky processes, and missing context. What if fixing your foundation, not your algorithms, was the real AI game-changer?
4 mins
March 2026
PCQuest
How automation at the periphery is accelerating digital transformation
Digital transformation is not tearing down the core anymore. It is happening at the edges. With AI and automation layered onto existing systems, companies are cutting costs, boosting productivity by up to 40%, and scaling smarter without risking operational chaos
2 mins
March 2026
PCQuest
When AI moves from chips to racks
AI performance is no longer just about faster chips. It is about how racks, power, networking, and orchestration work together. As agentic AI grows, infrastructure must become predictable, open, and built for scale from day one
4 mins
March 2026
PCQuest
Designing enterprise AI systems that stay fair
In 2026, bias is no longer treated as a communications issue or a public relations headache.
6 mins
March 2026
PCQuest
HALO smart sensor
What if bathrooms, locker rooms, and isolated spaces could become safer without adding cameras?
2 mins
March 2026
PCQuest
Building enterprise AI that doesn't discriminate
Bias in enterprise AI is not a side issue. It starts in data pipelines, training systems, product design, and engineering workflows. As AI scales, fairness, transparency, and accessibility are becoming core software requirements
4 mins
March 2026
PCQuest
Bias travels faster than code
Bias in enterprise AI is not a surface issue. It enters through data, features, model training, APIs, and UI logic, then spreads across the stack. The technical response is shifting from audits to architecture, observability, and deployment controls
6 mins
March 2026
PCQuest
How hospitals can use AI without risking patient data
With the fast pace of adoption of Artificial Intelligence (AI) and digital health systems in Indian hospitals, issues related to the security of patient data are also increasing at an equal rate.
2 mins
March 2026
Translate
Change font size

