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Say hello to Ably Chat: A new product optimized for large-scale chat interactions

Jul 11, 2024 By Srushtika Neelakantam In Ably
We’ve had the privilege of working with a wide range of customers including global retailers, CRM vendors, sports franchises, creators, entertainers, and broadcasters - from HubSpot and SportsBet, to 17Live and InvitePeople - providing them with reliable, scalable and low-latency chat. Ably Pub/Sub is already a fantastic fit for a variety of chat use cases.
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Gen AI in Healthcare: Harnessing its Potential in Innovation & Personalized Care

Jul 10, 2024 By Cigniti In Cigniti
GenAI can unlock a trillion-dollar opportunity in healthcare, says McKinsey. But how would this unfold? Tune into this podcast where Senior healthcare IT leader Ajay Behuria shares deep insights and vision for GenAI's transformative potential—from reshaping healthcare delivery to optimizing remote patient assistance and ensuring fairness in AI solutions. In this session, Ram Mamidanna, SVP of Digital Engineering Services at Cigniti, delves into real-world implementation journeys, strategies for adoption, and overcoming challenges in integrating GenAI with enterprise architecture.
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Cigniti

Revolutionizing Wealth Management: Legacy Modernization and Streamlining Application Portfolio for Next-Gen Efficiency

Jul 10, 2024 By Singla Yogesh In Cigniti
In the ever-evolving landscape of wealth management, technology plays a pivotal role in determining the efficiency and effectiveness of operations. Wealth management firms, facing constant pressure to innovate and optimize, must continually evaluate their technological and business process landscapes for cost, time, and functionality efficiencies. This blog delves into providing a structured approach to address these needs and unlock significant value for wealth management firms.
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countly

Countly For The Telecom Industry: Transforming Data Challenges Into Opportunities

Jul 10, 2024 By Nadia Benslimane In Countly
As you read this article, chances are your internet-connected smartphone is right beside you, your most-used daily device. This widespread use of smartphones we’re witnessing today, along with the explosion of IoT devices and high-speed networks, presents telecom companies with unprecedented challenges in managing customer experience and technical operations. The massive influx of data demands sophisticated analytics, but Countly is up for the challenge.
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ably

Introducing our new status page

Jul 10, 2024 By Matt Hammond In Ably
We are thrilled to announce that we are transitioning from our legacy status page to a brand-new, upgraded one. This change is part of our ongoing commitment to provide Ably users with the best possible developer experience. Our legacy status page has served us well, but technology and customer needs are constantly evolving. We recognized the need for a platform that can keep pace with these changes and offer an improved experience.
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bugfender

Swift Machine Learning: Using Apple Core ML

Jul 10, 2024 By Sachin Siwal In Bugfender
A sub-discipline of artificial intelligence (AI), machine learning (ML) focuses on the development of algorithms to build systems capable of learning from, and making decisions based on, data. In iOS development, ML allows us to create applications that can identify patterns and make predictions, adapting a user’s experience by learning from their behaviour.
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confluent

MiFID II: Data Streaming for Post-Trade Reporting

Jul 10, 2024 By Streaming Success: Capital One's Data Management Tips for the Modern Enterprise In Confluent
The Markets in Financial Instruments Directive II (MiFID II) came into effect in January 2018, aiming to improve the competitiveness and transparency of European financial markets. As part of this, financial institutions are obligated to report details of trades and transactions (both equity and non-equity) to regulators within certain time limits.
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cloudera

Introducing Cloudera Observability Premium

Jul 10, 2024 By Wim Stoop In Cloudera
There’s nothing worse than wasting money on unnecessary costs. In on-premises data estates, these costs appear as wasted person-hours waiting for inefficient analytics to complete, or troubleshooting jobs that have failed to execute as expected, or at all. They manifest as idle hardware waiting for urgent workloads to come in, ensuring sufficient spare capacity to run them amidst noisy neighbors and resource-hungry, lower-priority workloads.
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