Register and share your invite link to earn from video plays and referrals.

Search results for Enterprise
Enterprise community
One keyword maps to one global community path.
Create community
People
Not Found
Tweets including Enterprise
Enterprises should own their intelligence. That means bringing AI to their sensitive data while protecting both business data and proprietary models. NVIDIA’s @j_boitano and @VAST_Data Renen Hallak discuss how NVIDIA Confidential Computing makes this possible.
Show more
Enterprise AI has to drive growth without letting costs spiral. At The Six Five Summit, @Snowflake CEO @RamaswmySridhar shared that their AI sales agent serves all 4,000 salespeople and costs less than the dashboarding tools it replaced. Watch the full session:
Show more
Enterprises need control. But that shouldn’t mean closing themselves off from the permissionless ecosystem. At @rwasummit, VP of Sales Carlos Arena shared why staying connected to the wallets, infrastructure, and innovation happening onchain matters for what you might want to build next.
Show more
Enterprise AI should understand what a company knows, and how it makes decisions and gets work done. Operating intelligence shows up in four places. - Individual intelligence is the judgment people apply in context. - Managerial intelligence is creating the conditions for honest challenge and better decisions. - Team intelligence is how groups coordinate and execute across functions. - Process intelligence is understanding how work moves, where it gets stuck, and who can unblock it. Together, they are the judgment and relationships that turn knowledge into action. Most enterprise AI still centers on the explicit layer, including documents, tickets, and CRM records. The harder problem is the context around them. Why a signal matters. Who needs to be involved. What decision has already been made. Where work is actually stuck. How well AI understands that context will determine how useful it becomes inside a company.
Show more
Enterprise data + training will eventually be one problem, not two separate services.
Enterprise AI doesn't fail in the model. It fails in the data underneath. Oct 8, NYC: we're gathering data & AI leaders to talk governance, accountability, and ending the "hallucination tax" with @Collibra Request your seat →
Show more
enterprise sales rule if the executive sponsor, does NOT need to see the solution you're price/business value is too low OR perceived to be too low
Enterprises are capping AI budgets, building routers, and coaching engineers on model choice. One company can put a number on the payoff. Most can't.
enterprise startups ... this is often counterintuitive the market seldom wants discounts you're negotiating with yourself OR someone junior if they feel the value/price is mismatched, they want more value to close that gap i.e. 'harderworking' solution ...
Show more
Enterprises want private ledgers with public-chain security, and @XDCNetwork's subnet design delivers both. Transactions stay on a company-owned private chain while only block headers checkpoint to the xdce-crowd-sale:native mainnet every two minutes. How the mechanism works ⬇️
Show more