Choice-making is complicated, however getting the appropriate insights shouldn’t be.
Nonetheless, enterprise leaders typically face delays on account of conventional analytics workflows and overwhelmed knowledge groups. On the similar time, AI leaders encounter prolonged deployment cycles and integration challenges.
The truth is, 66% report missing the appropriate instruments to deploy AI options that align with firm objectives. Integration challenges and lengthy deployment cycles—typically seven months or extra—delay progress and make it more durable to fulfill government expectations.
Generative AI and agentic AI promise a manner ahead, however adoption stays troublesome. 77% of enterprise leaders worry they’re already falling behind and are pushing their groups to speed up implementation.
The reply isn’t extra complicated tooling—it’s pre-built, configurable agentic AI apps.
These agentic AI apps empower AI leaders to scale AI sooner whereas giving enterprise leaders the moment, intuitive, and dependable AI options they search.
Roadblocks to AI-driven solutions
Whereas AI holds the promise of reworking decision-making, a number of entrenched obstacles proceed to hinder its efficient implementation:
- Overwhelmed knowledge and AI groups: The rising demand for AI-powered insights is stretching groups skinny. Time-sensitive requests pile up sooner than they are often addressed, resulting in bottlenecks and burnout. As well as, AI groups face challenges in scaling options effectively, hindering well timed adoption and affect.
- Gradual AI deployment and orchestration: Even when AI options can be found, transferring them from idea to manufacturing is a major problem. Integrating with enterprise programs, making certain knowledge is AI-ready, and aligning with governance insurance policies can take months — far too lengthy for in the present day’s fast-paced enterprise setting.
- Restricted self-service, complicated queries: Conventional Enterprise Intelligence (BI) dashboards present visibility, however real-time ad-hoc evaluation with AI suggestions and insights nonetheless requires SQL, customized queries, or superior analytics — making enterprise customers reliant on technical groups. As a substitute of appearing on insights, they discover themselves ready for knowledge analysts to generate experiences.
- Safety and compliance hurdles: Strict knowledge privateness rules like GDPR and HIPAA, together with inner safety controls, are important for safeguarding delicate data. Nonetheless, every knowledge request requires approvals, permissions, and safe dealing with, including friction that slows down entry to important enterprise insights.
These persistent challenges underscore the necessity for a transformative method to getting companies the insights they need as quick as they want — one which streamlines processes and empowers each enterprise and AI groups to attain sooner, extra dependable outcomes.
Transfer from knowledge to selections immediately with agentic AI
Enterprise leaders want a sooner, extra intuitive option to get AI-powered insights with out overburdening technical groups or ready on complicated experiences.
Because of this the Speak to My Knowledge agentic AI app was developed.
In contrast to conventional BI dashboards that require fixed human enter, the Speak to My Knowledge agentic AI app actively retrieves and synthesizes knowledge, utilizing a chain-of-thought prompting to ship business-ready solutions in actual time.
For enterprise leaders, this implies:
- No extra navigating BI dashboards, submitting perception requests, or counting on SQL queries.
- The power to ask questions in plain language and getting on the spot, contextual responses.
For AI leaders, this implies:
- Eradicating guide question bottlenecks.
- Accelerating AI adoption whereas sustaining governance and scalability.
With schema intelligence, enterprise knowledge integration, and built-in compliance, Speak to My Knowledge allows AI groups to deploy sooner, scale back operational overhead, and align AI with enterprise objectives.
A GPS for enterprise selections
Consider the Speak to My Knowledge agentic app as a GPS for your enterprise selections. As a substitute of mapping the route your self, simply ask the place you might want to go—and the appropriate path seems immediately.
However similar to a GPS doesn’t recommend random routes, Speak to My Knowledge components in enterprise context, historic traits, and predictive insights to ship probably the most related solutions.
- Versatile functions: Whether or not you’re optimizing gross sales efficiency, monitoring monetary well being, or figuring out operational bottlenecks, the AI dynamically retrieves, interprets, and refines queries—making certain each velocity and accuracy.
- Complete outputs: Speak to My Knowledge gives visible summaries, tables, and even supply code for deeper exploration, permitting AI groups to customise or prolong analytics as wanted.
- Empowered decision-making: By eliminating delays in knowledge entry, leaders in any respect ranges can establish high-value alternatives, pivot rapidly, and maximize ROI, all whereas lowering dependence on technical groups for routine analytics.
“With Speak to My Knowledge agentic AI app, enterprise leaders and their groups can confidently make knowledgeable selections with out ready on technical assist. AI leaders can drive sooner AI adoption and guarantee scalability, whereas empowering enterprise customers to ask questions, get trusted solutions, and visualize insights immediately—all on their phrases.”
– Justin Swansburg, VP Utilized AI & Technical Discipline Leads
How Speak to My Knowledge agentic AI app empowers AI and enterprise groups drive affect
The Speak to My Knowledge app provides a number of options designed to reinforce effectivity and effectiveness:
- Constructed-in AI, safety, and app logic
Deploying AI options typically requires intensive customization and integration. Nonetheless, with built-in AI logic, safety logic, and app logic, AI groups can rapidly customise the app to their group’s distinctive enterprise wants. This method allows enterprise customers to instantly leverage AI for reporting and insights, minimizing the necessity for intensive changes. - Seamless knowledge integration
Working with knowledge from varied programs—comparable to Databricks, Snowflake, Google BigQuery, and even native recordsdata—typically presents challenges on account of guide integration processes.The Speak to My Knowledge app addresses this by incorporating a built-in schema layer that automates knowledge alignment, lowering the necessity for guide reconciliation throughout numerous knowledge tables and sources. This automation minimizes the time knowledge and AI groups spend resolving knowledge points, enabling enterprise leaders to entry sooner, extra dependable insights.
- Value-effective system optimization
Choosing applicable AI programs is essential for balancing efficiency and price. By providing a library of LLMs tailor-made to particular enterprise wants, AI groups can select underlying parts that optimize bills whereas sustaining effectiveness. This flexibility ensures that AI initiatives stay each environment friendly and economical. - Pure language interplay
Accessing knowledge insights shouldn’t require technical experience. By enabling pure language queries, customers can discover knowledge, uncover insights, and make selections sooner, with out the necessity for SQL or ready on analysts for routine queries.For technical groups, the provision of underlying Python or SQL code permits for evaluation, modification, and reuse, providing deeper analytical capabilities when wanted.
- Simplified superior analytics
Leveraging AI-powered insights and Python-based analytics instruments with out coding can democratize knowledge evaluation. Customers can generate charts, tables, and supply code to reply questions effortlessly, making superior analytics accessible to a broader viewers. - Constructed-in safety and compliance
Making certain compliance with requirements comparable to GDPR and HIPAA is important in in the present day’s data-driven setting. Constructed-in safety features be sure that knowledge entry is safe, permitting decision-making processes to proceed with out compromising compliance. - Business-specific adaptability
Completely different industries face distinctive challenges. By providing real-time visualizations and analyses tailor-made to particular trade wants, customers can achieve exact, context-aware insights.Customizable prompts and visualizations—together with charts, graphs, and tailor-made suggestions—allow deeper evaluation and knowledgeable decision-making, aligning with the precise priorities of every trade.
The precise solutions out of your knowledge proper once you want them
Think about your AI staff delivering a robust agentic AI expertise that your enterprise leaders depend on every day to acquire exact solutions by merely querying your intensive knowledge sources.
That’s what’s attainable with the Speak to My Knowledge agentic AI app.
Seamlessly combine generative and agentic AI into your group’s decision-making course of, eliminating delays, complexities, and technical dependencies.
No extra enduring prolonged AI growth cycles, integration challenges, or issues over safety and governance.
Uncover the way it works, and invite your staff to expertise it firsthand.
Concerning the creator
Savita has over 15 years of expertise within the enterprise software program trade. She beforehand served as Vice President of Product Advertising at Primer AI, a number one AI protection expertise firm.
Savita’s deep experience spans knowledge administration, AI/ML, pure language processing (NLP), knowledge analytics, and cloud providers throughout IaaS, PaaS, and SaaS fashions. Her profession consists of impactful roles at distinguished expertise corporations comparable to Oracle, SAP, Sybase, Proofpoint, Oerlikon, and MKS Devices.
She holds an MBA from Santa Clara College and a Grasp’s in Electrical Engineering from the New Jersey Institute of Expertise. Enthusiastic about giving again, Savita serves as Board Member at Conard Home, a Bay Space nonprofit offering supportive housing and psychological well being providers in San Francisco.
Brian Bell Jr. leads Product Administration for AI Manufacturing at DataRobot. He has a background in Engineering, the place he has led growth of DataRobot Knowledge Ingest and ML Engineering infrastructure. Beforehand he has had positions with the NASA Jet Propulsion Lab, as a researcher in Machine Studying with MIT’s Evolutionary Design and Optimization Group, and as an information analyst in fintech. He studied Laptop Science and Synthetic Intelligence at MIT.
