The metamorphosis of language translation services, especially pertaining to Hindi, is inextricably linked to advancements in technology and the growing interdependence of global economies. Deeply rooted in history, culture, and tradition, Hindi, the fourth most spoken language in the world, has a significant role to play in the world's linguistic diversity. The ever-increasing demand for Hindi translating services and the rapid technological advancements has led to a revolution in this sphere, projecting a future replete with possibilities and transitions.

To comprehend the future trajectory of Hindi translating services, we first need to understand the current state of affairs. With approximately 341 million native speakers worldwide, Hindi holds a position of importance in today's globalized world. The demand for Hindi translation is driven by diverse sectors such as entertainment, business, literature, and academia, to name a few.

Translation, in the most basic sense, is an activity comprising the interpretation of the meaning of a text in one language — the "source text" — and the production, in another language, of a new, equivalent text — the "target text," or translation. Traditionally, human translators have been the cornerstone of this process, requiring a profound knowledge of both the source and target languages, cultural norms, and contextual relevance.

Nonetheless, we are at the cusp of a significant shift. The rise of Artificial Intelligence (AI) and Machine Learning (ML) has opened new avenues in translation services. Neural Machine Translation (NMT), an end-to-end learning approach for automated translation, has demonstrated potential in providing faster and relatively accurate translations. However, it's crucial to note that although NMT can be a powerful tool, it is not without shortcomings. It struggles with handling idiomatic expressions, cultural nuances, and metaphors, shedding light on the indispensability of the human touch in translation.

The future of Hindi translating services, therefore, is likely to pivot around the integration of human expertise with sophisticated technology. We are moving towards a collaborative model where AI and human translators work hand in hand, benefiting from the strengths of each other. This symbiotic relationship is expected to enhance translation efficiency and accuracy, thus shaping the future discourse of Hindi translation services.

Another noteworthy trend is the rise of cloud-based translation platforms that offer a collaborative workspace for translators and clients. This trend is set to redefine the traditional client-translator relationship by offering greater transparency, continuous interaction, and real-time feedback, enhancing the overall translation quality.

Moreover, the advent of Translation Memory (TM) technologies, a database that stores 'segments', which can be sentences, paragraphs, or sentence-like units, that have previously been translated, promises to speed up the translation process and ensure consistency across translations. This, coupled with the trend of localization – modifying content to fit the language and culture of a specific region – is set to take Hindi translating services to new heights.

To conclude, the future of Hindi translation services seems to be leaning towards a more technologically driven domain while retaining the quintessential human touch. The amalgamation of AI, ML, TM, and cloud technologies, with human intelligence, is likely to yield a future where machine-enabled translation speeds up processes, and human translators provide the cultural context, subtlety, and creativity that machines are yet to master.

Therefore, as we step into this new era of translation services, it becomes imperative for all stakeholders, be they translators, agencies, or clients, to embrace these changes and prepare for a future that promises to be exciting, challenging, and rewarding. They must be ready to adapt to these technological innovations and incorporate them into their workflows to stay relevant and competitive in this dynamic and evolving landscape.