Bipin Kondalkar
Stories (9)
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Data Quality
Data is the new oil, they say. But unlike its physical counterpart, data is prone to impurities, inconsistencies, and outright falsehoods. It’s a resource that, despite its immense value, remains stubbornly dirty. The prevailing narrative, however, is that this is a solvable problem – a one-time cleanup job that, once completed, will yield pristine data for eternity. This is a dangerous illusion. Data quality is not a destination; it’s a journey. An uphill climb.
By Bipin Kondalkarabout a year ago in 01
The Doctor is In… Your Pocket
Highlights: Gone are the days of waiting on hold to schedule a doctor’s appointment. Digital Front Door (DFD) Solutions allow you to book appointments, refill prescriptions, and access medical records via a simple app, giving you control over your healthcare journey. Beyond scheduling, these digital tools enable secure messaging with doctors and integrate telehealth for virtual consultations. However, this shift to digital healthcare requires securing vast amounts of sensitive patient data. That’s where securing PII data privacy and security becomes essential. The biggest challenge, however, is that PII data is stored in unstructured files that are difficult to classify. The solution requires a strategic shift in the way healthcare enterprises manage their data—a unified data management approach.
By Bipin Kondalkarabout a year ago in 01
Cloud Repatriation
Highlights: A counterintuitive trend is emerging: cloud repatriation, where companies are moving some workloads back on-premises. This shift is driven by a complex interplay of factors, with cost optimization emerging as a primary catalyst. Outdated infrastructure and legacy systems are hindering enterprise cloud journey. To unlock the full potential of the cloud, organizations must shed these constraints and embrace digital transformation. Data analytics is the cornerstone of a successful cloud migration. By understanding data usage patterns, dependencies, and quality, enterprises can optimize their cloud infrastructure, reduce costs, and enhance performance. A significant hurdle to data-driven cloud migration is the prevalence of unstructured data, which accounts for approximately 80% of enterprise data. Extracting actionable insights from this vast, unorganized information requires sophisticated techniques and tools capable of analyzing diverse data sources.
By Bipin Kondalkar2 years ago in 01
The Untold Story:
Highlights: As the pharmaceutical industry continues to grow and evolve, so does the amount of unstructured data that companies must navigate. Pharmaceutical companies accumulate vast amounts of data each year, spanning all stages of research and development. With clinical trials alone producing around 3.6 million data points, three times more than a decade ago, the total amount of data can reach hundreds of terabytes. According to a report by IDC, 80% of data generated in the healthcare industry is unstructured and comes from diverse sources, making it difficult to analyze and utilize. It can cause colossal damage hindering the adoption of AI, crucial for advancements in drug discovery and clinical trials. The key to tackling it lies in being intentional about managing it from the outset rather than waiting until things get out of hand before taking action. Choosing the right approach to managing your data—whether building an in-house team or outsourcing to a third-party vendor—can make all the difference in streamlining your operations and maximizing profitability.
By Bipin Kondalkar2 years ago in 01
Clean Tech, Big Impact
Highlights: Artificial intelligence (AI) is transforming industries, but its undeniable power comes with a hidden cost: a significant environmental impact. Sustainable AI emerges as a revolutionary approach, prioritizing environmental responsibility throughout the entire AI lifecycle. While the environmental benefits of Sustainable AI are clear, a major challenge stands in the way of unlocking its full potential: data sprawl. Businesses are inundated with an ever-growing sea of information, both structured and unstructured. The vast potential of unstructured data, however, remains largely unrealized due to the complexities of managing it. Overcoming critical hurdles like navigating complex data landscapes, ensuring data quality, and upholding ethical considerations are essential steps. This is where smart data management comes into play. The journey towards Sustainable AI hinges not only on optimizing algorithms and leveraging renewable energy but also on harnessing the power of data – responsibly and efficiently. By embracing sustainable practices and investing in smart data management, companies can unlock a future powered by intelligent solutions that create a positive impact on our planet.
By Bipin Kondalkar2 years ago in Futurism
Privacy by Design
The Data Deluge and the Rise of Privacy Concerns Our digital lives generate a constant stream of data – every click, swipe, and purchase meticulously logged. This vast collection of information fuels targeted advertising, product development, and market research, but it also raises concerns about privacy. Consumers are increasingly wary of how companies use their personal data, demanding greater control.
By Bipin Kondalkar2 years ago in 01
Balancing Control and Democratization Efforts
In today’s digital age, managing Personally Identifiable Information (PII) is more critical than ever. Organizations must balance stringent data control with the democratization of data access to empower their teams and drive innovation. This article explores six essential strategies for effective PII management, ensuring data security while maximizing its utility.
By Bipin Kondalkar2 years ago in Futurism
The Digital Identity Management Minefield
Introduction: The digital revolution in healthcare has brought immense benefits, but it has also introduced significant challenges, particularly in the realm of digital identity management (DIM). The increasing reliance on digital records and electronic health systems has exposed the healthcare sector to cyber threats, making effective DIM crucial for protecting sensitive patient information and ensuring regulatory compliance.
By Bipin Kondalkar2 years ago in Futurism
AI in Algorithmic Trading:
The financial landscape on Wall Street is undergoing a profound transformation, largely driven by the advent and integration of Artificial Intelligence (AI) in algorithmic trading. This technological evolution is not just a fleeting trend but a significant shift that promises to redefine the very foundations of trading and investment strategies.
By Bipin Kondalkar2 years ago in Futurism
