What if your next real estate deal was closed not by an agent—but by an algorithm? From recommending the perfect property to predicting market shifts before they happen, AI is quietly becoming the smartest player in the room. While the industry has long relied on spreadsheets, site visits, and guesswork,
Business Intelligence Architecture is increasingly seen as a business-critical function, but most organizations still struggle to make it effective. As Salesforce CIO Juan Perez noted, “Data initiatives are at an unprecedented level of urgency and prioritization.” Even with growing access to data, many teams face the same issues—scattered systems, slow
Publishing firm Wiley reported a 40% increase in operational efficiency and 213% ROI after implementing an AI agent – Salesforce Agentforce. While their competitors struggled with traditional chatbots, Wiley’s intelligent agents autonomously handled complex customer inquiries, escalated appropriately, and learned from each interaction. AI teams at companies like Microsoft, Shopify,
Modern organizations are under immense pressure to turn vast amounts of data into actionable insights—quickly, securely, and at scale. The challenge isn’t just about storage or pipelines anymore; it’s about accessibility, governance, and adaptability. That’s where the debate around Data Mesh vs. Data Fabric gains relevance. As companies adopt AI
Data and RPA Platform Migration Services in New York, USA Modernize your data and RPA platforms in New York, USA with our automated migration solutions. Our custom-built migration connectors handle complex transitions—like Tableau to Power BI, SSIS to Microsoft Fabric, and UiPath to Power Automate—helping businesses cut costs and minimize
AI chatbots for businesses have come a long way from their early days as simple customer service tools. Platforms like Drift and Intercom helped lay the groundwork, but today’s landscape is filled with dozens of advanced solutions offering far more than scripted replies. The real challenge now isn’t finding a
Data analytics tools have quietly reshaped how companies make decisions, catch problems early, and understand performance. Do you know that. eighty percent of the content streamed on Netflix comes from its recommendation system- a system powered by sophisticated data analytics tools that process viewing patterns, preferences, and behaviors in real-time.
Data engineering teams today face a pressing challenge: nearly 70% of their time is spent just preparing data, not analyzing it. Fragmented tools, duplicated storage, and disconnected environments continue to slow development cycles. Meanwhile, demand for scalable, real-time pipelines and unified analytics keeps rising. To address these inefficiencies, platforms that
As of January 2025, Microsoft has begun phasing out Enterprise Agreement (EA) renewals for mid-sized organizations, primarily those with 500 to 2,400 users on the Level-A Enterprise Agreement (EA) model. These customers are now encouraged to move to the Cloud Solution Provider (CSP) model for continued access to Microsoft licensing
“Without data, you’re just another person with an opinion.” – W. Edwards Deming Every day, the world generates approximately 402.74 million terabytes of data, encompassing everything from social media interactions to financial transactions. This massive influx of information presents both a challenge and an opportunity for businesses. To navigate
Kanerika is a leading provider of end-to-end AI, Analytics, and Automation solutions with years of implementation expertize.
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